Kadir Nar
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* 📄 Renamed File for Better Understanding Renamed the 'rl' file to 'run_locomotion'. This change was made to improve the clarity and readability of the codebase. The 'rl' name was ambiguous, and 'run_locomotion' provides a more clear description of the file's purpose. Thanks 🙌 * 📁 [Docs] Renamed Directory for Better Clarity Renamed the 'rl' directory to 'reinforcement_learning'. This change provides a clearer understanding of the directory's purpose and its contents. * Update examples/reinforcement_learning/README.md Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * 📝 Update README --------- Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
23 lines
826 B
Markdown
23 lines
826 B
Markdown
# Overview
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These examples show how to run [Diffuser](https://arxiv.org/abs/2205.09991) in Diffusers.
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There are two ways to use the script, `run_diffuser_locomotion.py`.
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The key option is a change of the variable `n_guide_steps`.
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When `n_guide_steps=0`, the trajectories are sampled from the diffusion model, but not fine-tuned to maximize reward in the environment.
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By default, `n_guide_steps=2` to match the original implementation.
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You will need some RL specific requirements to run the examples:
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```
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pip install -f https://download.pytorch.org/whl/torch_stable.html \
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free-mujoco-py \
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einops \
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gym==0.24.1 \
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protobuf==3.20.1 \
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git+https://github.com/rail-berkeley/d4rl.git \
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mediapy \
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Pillow==9.0.0
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```
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