lerobot/config_examples
A repository that contains example json files that can be used for different applications of the LeRobot code base. Current available configs: RL : env_config.json: Environment config for a real robot setup using a gamepad for teleoperation and an SO10* arm as the main agent. Using gym_manipulator.py, one can use this config to teleoperate the robot and record a dataset for reinforcement learning. train_config.json: Training config for the HIL-SERL implementation in LeRobot on the real robot… See the full description on the dataset page: https://huggingface.co/datasets/lerobot/config_examples.
Update configs to match new LeRobot RL refactor (#3)
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Create reward_classifier/config.json
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Create sim_il/env_config.json
Create train_config.json
Create gym_hil/env_config.json
Create train_config.json
Update rl/env_config.json
Update rl/env_config.json
Create rl/env_config.json
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