Image: reddit.com · I used Claude Code to port DeepMind's DiscoRL from JAX to PyTorch
DeepMind's DiscoRL ported from JAX to PyTorch
Claude Code ported DeepMind's DiscoRL reinforcement-learning method from JAX to PyTorch, validated on the game Catch and published with a Colab notebook.
Credits
- Reddit poster Far-Respect-4827 Source ↗
- Repository account asystemoffields Source ↗
Earliest dated source:
The full story
After reading the Nature article on DeepMind's DiscoRL, the poster wanted to experiment with it in PyTorch. Claude Code wrote the port from JAX to PyTorch, which the poster says it could have done without them.
The port was validated on Catch. The repository includes a Colab notebook and an API, and the weights are on Hugging Face.
How it was done
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Sources
From a short post by the maker, so the details are as they tell them.
- Reddit: I used Claude Code to port DeepMind's DiscoRL from JAX to PyTorchReddit poster: Far-Respect-4827Posted
The maker's post on r/ClaudeAI.
If it disappears: archived copy of Reddit: I used Claude Code to port DeepMind's DiscoRL from JAX to PyTorch (opens in a new tab)
- The code: github.comRepository account: asystemoffields
The project on GitHub.