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* added chatGLM readme * changed wording in readme * added readme for chinese-clip * added readme for convmixer * added readme for custom ops * added readme for efficientnet * added readme for llama * added readme to mnist-training * added readme to musicgen * added readme to quantized-phi * added readme to starcoder2 * added readme to whisper-microphone * added readme to yi * added readme to yolo-v3 * added readme to whisper-microphone * added space to example in glm4 readme * fixed mamba example readme to run mamba instead of mamba-minimal * removed slash escape character * changed moondream image to yolo-v8 example image * added procedure for making the reinforcement-learning example work with a virtual environment on my machine * added simple one line summaries to the example readmes without * changed non-existant image to yolo example's bike.jpg * added backslash to sam command * removed trailing - from siglip * added SoX to silero-vad example readme * replaced procedure for uv on mac with warning that uv isn't currently compatible with pyo3 * added example to falcon readme * added --which arg to stella-en-v5 readme * fixed image path in vgg readme * fixed the image path in the vit readme * Update README.md * Update README.md * Update README.md --------- Co-authored-by: Laurent Mazare <laurent.mazare@gmail.com>
29 lines
787 B
Markdown
29 lines
787 B
Markdown
# candle-reinforcement-learning
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Reinforcement Learning examples for candle.
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> [!WARNING]
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> uv is not currently compatible with pyo3 as of 2025/3/28.
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## System wide python
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This has been tested with `gymnasium` version `0.29.1`. You can install the
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Python package with:
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```bash
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pip install "gymnasium[accept-rom-license]"
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```
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In order to run the examples, use the following commands. Note the additional
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`--package` flag to ensure that there is no conflict with the `candle-pyo3`
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crate.
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For the Policy Gradient example:
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```bash
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cargo run --example reinforcement-learning --features=pyo3 --package candle-examples -- pg
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```
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For the Deep Deterministic Policy Gradient example:
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```bash
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cargo run --example reinforcement-learning --features=pyo3 --package candle-examples -- ddpg
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```
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