add_configs
#1
by
aractingi
HF Staff
- opened
- README.md +5 -12
- reward_classifier/config.json +0 -54
- rl/env_config.json +0 -94
- rl/gym_hil/env_config.json +0 -33
- rl/gym_hil/train_config.json +0 -172
- rl/train_config.json +0 -285
- sim_il/env_config.json +0 -69
- sim_il/eval_config.json +0 -187
README.md
CHANGED
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@@ -4,15 +4,8 @@ A repository that contains example json files that can be used for different app
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Current available configs:
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- train_config.json: Training config for the HIL-SERL implementation in LeRobot for simulated environments.
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- Sim IL:
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- env_config.json: Environment config for simulation using the `gym_hil` environment. You can use this configuration to collect a dataset in simulation that can be used for imitation learning or reinforcement learning.
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- eval_config.json: Evaluation config for models trained on datasets collected from `gym_hil` environment.
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- Reward Classifier:
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- config.json: Main configuration for training a reward classifier.
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Current available configs:
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+
env_config_so100.json: real robot environment configuration to be used to teleoperate, record dataset and replay a dataset on the real robot with the lerobot/scripts/rl/gym_manipulator.py script.
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train_config_hilserl_so100.json: training config on the real robot with the HILSerl RL framework in LeRobot.
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gym_hil_env.json: simulated environment configuration for the gym_hil mujoco based env.
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train_gym_hil_env.json: training configuration for gym_hil with the HILSerl RL framework in LeRobot.
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reward_classifier_train_config.json: configuration to train a reward classifier with LeRobot.
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reward_classifier/config.json
DELETED
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@@ -1,54 +0,0 @@
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{
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"dataset": {
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"repo_id": "hf_username/dataset_name",
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"root": null
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},
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"policy": {
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"type": "reward_classifier",
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"model_name": "helper2424/resnet10",
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"model_type": "cnn",
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"num_cameras": 2,
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"num_classes": 2,
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"hidden_dim": 256,
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"dropout_rate": 0.1,
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"learning_rate": 1e-4,
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"device": "cuda",
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"use_amp": true,
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"input_features": {
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"observation.images.side": {
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"type": "VISUAL",
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"shape": [
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3,
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128,
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128
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]
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},
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"observation.images.front": {
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"type": "VISUAL",
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"shape": [
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3,
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128,
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128
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]
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}
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}
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},
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"batch_size": 16,
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"num_workers": 4,
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"steps": 5000,
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"log_freq": 10,
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"eval_freq": 1000,
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"save_freq": 1000,
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"save_checkpoint": true,
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"seed": 2,
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"resume": false,
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"optimizer": {
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"grad_clip_norm": 10.0
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},
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"wandb": {
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"enable": true,
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"project": "reward-classifier",
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"disable_artifact": false
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},
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"job_name": "reward-classifier"
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}
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rl/env_config.json
DELETED
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@@ -1,94 +0,0 @@
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{
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"env": {
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"robot": {
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"type": "so100_follower",
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"port": "/dev/tty.usbmodem5A460822851",
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"id": "turqoise",
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"cameras": {
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"top": {
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"type": "opencv",
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"index_or_path": 0,
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"height": 480,
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"width": 640,
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"fps": 30
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}
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}
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},
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"teleop": {
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"type": "gamepad",
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"use_gripper": true
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},
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"processor": {
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"control_mode": "gamepad",
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"observation": {
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"display_cameras": false,
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"add_joint_velocity_to_observation": true,
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"add_current_to_observation": true,
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"add_ee_pose_to_observation": true
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},
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"image_preprocessing": {
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"crop_params_dict": {
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"observation.images.top": [49, 189, 262, 305]
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},
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"resize_size": [128, 128]
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},
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"gripper": {
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"use_gripper": true,
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"gripper_penalty": -0.02,
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"gripper_penalty_in_reward": false
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},
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"reset": {
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"fixed_reset_joint_positions": [
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0.0,
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0.0,
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0.0,
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90.0,
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0.0,
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30.0
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],
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"reset_time_s": 2.5,
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"control_time_s": 20.0,
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"terminate_on_success": true
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},
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"inverse_kinematics": {
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"urdf_path": "/Users/michel_aractingi/code/SO-ARM100/Simulation/SO101/so101_new_calib.urdf",
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"target_frame_name": "gripper_frame_link",
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"end_effector_bounds": {
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"min": [
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0.195,
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-0.065,
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0.005
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],
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"max": [
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0.25,
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0.065,
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0.1
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]
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},
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"end_effector_step_sizes": {
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"x": 0.02,
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"y": 0.02,
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"z": 0.02
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}
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},
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"reward_classifier": {
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"pretrained_path": null,
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"success_threshold": 0.5,
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"success_reward": 1.0
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},
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"max_gripper_pos": 30
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},
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"name": "real_robot",
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"fps": 10
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},
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"dataset": {
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"repo_id": "aractingi/pick_lift_cube_pipeline_test",
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"root": null,
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"task": "",
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"num_episodes_to_record": 15,
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"replay_episode": null,
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"push_to_hub": true
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},
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"mode": null,
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"device": "cpu"
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}
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rl/gym_hil/env_config.json
DELETED
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{
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"env": {
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"name": "gym_hil",
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"task": "PandaPickCubeGamepad-v0",
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"fps": 10,
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"robot": null,
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"teleop": null,
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"processor": {
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"control_mode": "gamepad",
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"gripper": {
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"use_gripper": true,
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"gripper_penalty": -0.02,
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"gripper_penalty_in_reward": false
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},
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"reset": {
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"fixed_reset_joint_positions": [0.0, 0.195, 0.0, -2.43, 0.0, 2.62, 0.785],
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"reset_time_s": 2.0,
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"control_time_s": 15.0,
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"terminate_on_success": true
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}
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}
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},
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"dataset": {
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"repo_id": "aractingi/franka_sim_pick_lift_6",
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"root": null,
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"task": "PandaPickCubeGamepad-v0",
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"num_episodes_to_record": 30,
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"replay_episode": 0,
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"push_to_hub": true
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},
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"mode": null,
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"device": "cpu"
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}
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rl/gym_hil/train_config.json
DELETED
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@@ -1,172 +0,0 @@
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{
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"output_dir": null,
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"job_name": "franka_sim_sac",
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"resume": false,
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"seed": 1000,
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"num_workers": 4,
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"batch_size": 256,
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"steps": 100000,
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"eval_freq": 20000,
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"log_freq": 1,
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"save_checkpoint": true,
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"save_freq": 20000,
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"use_policy_training_preset": true,
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"optimizer": null,
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"scheduler": null,
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"wandb": {
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"enable": true,
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"project": "franka_sim",
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"disable_artifact": true
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},
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"dataset": {
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"repo_id": "aractingi/franka_sim_pick_lift_5",
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"use_imagenet_stats": false
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},
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"env": {
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"type": "gym_manipulator",
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"name": "gym_hil",
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"task": "PandaPickCubeGamepad-v0",
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"fps": 10,
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"robot": null,
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"teleop": null,
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"processor": {
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"control_mode": "gamepad",
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"gripper": {
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"use_gripper": true,
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"gripper_penalty": -0.02,
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"gripper_penalty_in_reward": false
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},
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"reset": {
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"fixed_reset_joint_positions": [0.0, 0.195, 0.0, -2.43, 0.0, 2.62, 0.785],
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"reset_time_s": 2.0,
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"control_time_s": 15.0,
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"terminate_on_success": true
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}
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},
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"features": {
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"observation.images.front": {
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"type": "VISUAL",
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"shape": [3, 128, 128]
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},
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"observation.images.wrist": {
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"type": "VISUAL",
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"shape": [3, 128, 128]
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},
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"observation.state": {
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"type": "STATE",
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"shape": [18]
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},
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"action": {
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"type": "ACTION",
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"shape": [3]
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}
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},
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"features_map": {
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"observation.images.front": "observation.images.front",
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"observation.images.wrist": "observation.images.wrist",
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"observation.state": "observation.state",
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"action": "action"
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}
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},
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"policy": {
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"type": "sac",
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"n_obs_steps": 1,
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"normalization_mapping": {
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"VISUAL": "MEAN_STD",
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"STATE": "MIN_MAX",
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"ENV": "MIN_MAX",
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"ACTION": "MIN_MAX"
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},
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"input_features": {
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"observation.images.front": {
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"type": "VISUAL",
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"shape": [3, 128, 128]
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},
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"observation.images.wrist": {
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"type": "VISUAL",
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"shape": [3, 128, 128]
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},
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"observation.state": {
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"type": "STATE",
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"shape": [18]
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}
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},
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"output_features": {
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"action": {
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"type": "ACTION",
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"shape": [3]
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}
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},
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"device": "cuda",
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"use_amp": false,
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"dataset_stats": {
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"success_threshold": 0.5,
|
| 253 |
-
"success_reward": 1.0
|
| 254 |
-
},
|
| 255 |
-
"max_gripper_pos": 30
|
| 256 |
-
},
|
| 257 |
-
"name": "real_robot",
|
| 258 |
-
"fps": 10,
|
| 259 |
-
|
| 260 |
-
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|
| 261 |
-
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|
| 262 |
-
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| 263 |
-
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| 264 |
-
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|
| 265 |
-
3,
|
| 266 |
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|
| 267 |
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|
| 268 |
-
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|
| 269 |
-
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|
| 270 |
-
"observation.state": {
|
| 271 |
-
"type": "STATE",
|
| 272 |
-
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|
| 273 |
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18
|
| 274 |
-
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|
| 275 |
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| 276 |
-
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|
| 277 |
-
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|
| 278 |
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|
| 279 |
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| 280 |
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| 281 |
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| 282 |
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|
| 283 |
-
"features_map": {"observation.images.top": "observation.images.top", "observation.state": "observation.state","action":"action"}
|
| 284 |
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|
| 285 |
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sim_il/env_config.json
DELETED
|
@@ -1,69 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"env": {
|
| 3 |
-
"name": "gym_hil",
|
| 4 |
-
"task": "PandaPickCubeKeyboard-v0",
|
| 5 |
-
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
-
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|
| 11 |
-
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|
| 12 |
-
"add_ee_pose_to_observation": true,
|
| 13 |
-
"display_cameras": false
|
| 14 |
-
},
|
| 15 |
-
"image_preprocessing": {
|
| 16 |
-
"crop_params_dict": {
|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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|
| 23 |
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| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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| 28 |
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| 29 |
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| 30 |
-
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
-
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|
| 35 |
-
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|
| 36 |
-
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|
| 37 |
-
"gripper_penalty": -0.02,
|
| 38 |
-
"gripper_penalty_in_reward": false
|
| 39 |
-
},
|
| 40 |
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|
| 41 |
-
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|
| 42 |
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| 43 |
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|
| 44 |
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| 45 |
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| 46 |
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| 47 |
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|
| 48 |
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| 49 |
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| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 69 |
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sim_il/eval_config.json
DELETED
|
@@ -1,187 +0,0 @@
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|
| 1 |
-
{
|
| 2 |
-
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| 4 |
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| 5 |
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| 8 |
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|
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|
| 11 |
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|
| 12 |
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|
| 13 |
-
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|
| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 38 |
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| 39 |
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| 40 |
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| 42 |
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| 46 |
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| 47 |
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| 49 |
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| 50 |
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| 51 |
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| 58 |
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| 59 |
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| 62 |
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| 65 |
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| 66 |
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| 84 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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| 98 |
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| 99 |
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| 100 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 110 |
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128
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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|
| 117 |
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|
| 118 |
-
"gripper": {
|
| 119 |
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"use_gripper": true,
|
| 120 |
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"gripper_penalty": 0,
|
| 121 |
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"gripper_penalty_in_reward": false
|
| 122 |
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|
| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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|
| 136 |
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| 137 |
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| 138 |
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| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 146 |
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| 147 |
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|
| 148 |
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| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 153 |
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| 154 |
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| 155 |
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| 156 |
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| 157 |
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| 158 |
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"observation.images.wrist": {
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| 159 |
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| 160 |
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| 161 |
-
3,
|
| 162 |
-
128,
|
| 163 |
-
128
|
| 164 |
-
]
|
| 165 |
-
},
|
| 166 |
-
"observation.state": {
|
| 167 |
-
"type": "STATE",
|
| 168 |
-
"shape": [
|
| 169 |
-
18
|
| 170 |
-
]
|
| 171 |
-
},
|
| 172 |
-
"action": {
|
| 173 |
-
"type": "ACTION",
|
| 174 |
-
"shape": [
|
| 175 |
-
4
|
| 176 |
-
]
|
| 177 |
-
}
|
| 178 |
-
},
|
| 179 |
-
"features_map": {
|
| 180 |
-
"observation.images.front": "observation.images.front",
|
| 181 |
-
"observation.images.wrist": "observation.images.wrist",
|
| 182 |
-
"observation.state": "observation.state",
|
| 183 |
-
"action": "action"
|
| 184 |
-
},
|
| 185 |
-
"reward_classifier_pretrained_path": null
|
| 186 |
-
}
|
| 187 |
-
}
|
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