Package folder structure (#1417)
* Move files * Replace imports & paths * Update relative paths * Update doc symlinks * Update instructions paths * Fix imports * Update grpc files * Update more instructions * Downgrade grpc-tools * Update manifest * Update more paths * Update config paths * Update CI paths * Update bandit exclusions * Remove walkthrough section
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@@ -77,7 +77,7 @@ Important parameters:
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To run the environment, set mode to null:
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```python
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python lerobot/scripts/rl/gym_manipulator.py --config_path path/to/gym_hil_env.json
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python -m lerobot.scripts.rl.gym_manipulator --config_path path/to/gym_hil_env.json
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```
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### Recording a Dataset
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@@ -85,7 +85,7 @@ python lerobot/scripts/rl/gym_manipulator.py --config_path path/to/gym_hil_env.j
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To collect a dataset, set the mode to `record` whilst defining the repo_id and number of episodes to record:
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```python
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python lerobot/scripts/rl/gym_manipulator.py --config_path path/to/gym_hil_env.json
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python -m lerobot.scripts.rl.gym_manipulator --config_path path/to/gym_hil_env.json
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```
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### Training a Policy
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@@ -93,13 +93,13 @@ python lerobot/scripts/rl/gym_manipulator.py --config_path path/to/gym_hil_env.j
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To train a policy, checkout the configuration example available [here](https://huggingface.co/datasets/aractingi/lerobot-example-config-files/blob/main/train_gym_hil_env.json) and run the actor and learner servers:
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```python
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python lerobot/scripts/rl/actor.py --config_path path/to/train_gym_hil_env.json
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python -m lerobot.scripts.rl.actor --config_path path/to/train_gym_hil_env.json
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```
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In a different terminal, run the learner server:
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```python
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python lerobot/scripts/rl/learner.py --config_path path/to/train_gym_hil_env.json
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python -m lerobot.scripts.rl.learner --config_path path/to/train_gym_hil_env.json
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```
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The simulation environment provides a safe and repeatable way to develop and test your Human-In-the-Loop reinforcement learning components before deploying to real robots.
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