Popular GitHub Repositories for Rl

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

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.

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

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

Distributed RL System for LLM Reasoning

Latest Advances on System-2 Reasoning

Understanding R1-Zero-Like Training: A Critical Perspective

Python library for Reinforcement Learning.

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

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

Implementation of all RL algorithms in a simpler way

Hearthstone simulator using C++ with some reinforcement learning

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

A curated list of applied machine learning and data science notebooks and libraries across different industries.

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

? The experiment tracker for foundation model training

3D-printed open-source humanoid robot platform for sim-to-real and RL

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code