Stars
NeurIPS 2025: Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication
SoftVC VITS Singing Voice Conversion
A Survey of Reinforcement Learning for Large Reasoning Models
Writing AI Conference Papers: A Handbook for Beginners
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, Brax and other environments
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
[ICLR 2025 SynthData Workshop Spotlight] Empowering LLMs in Decision Games through Algorithmic Data Synthesis
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A deep reinforcement learning agent learning to play the classical game of Tetris.
Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).
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An reconstruction of RL Introduction and its course materials for a more efficient entry
A webpage centered around Rain World and its many threat themes.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
An extension of the PyMARL codebase that includes additional algorithms and environment support
This package contains the original 2012 AlexNet code.
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL