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An elegant PyTorch deep reinforcement learning library.

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

MuZero

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Implementation of papers in 100 lines of code.

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Distributed RL System for LLM Reasoning

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Latest Advances on System-2 Reasoning

Understanding R1-Zero-Like Training: A Critical Perspective

Python library for Reinforcement Learning.

Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab

A curated list of Monte Carlo tree search papers with implementations.

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

📘 The experiment tracker for foundation model training