There are 19 repositories under rl topic.
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
MuZero
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
[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.
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
Python library for Reinforcement Learning.
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
Implementation of papers in 100 lines of code.
Hearthstone simulator using C++ with some reinforcement learning
A curated list of Monte Carlo tree search papers with implementations.
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.
📘 The experiment tracker for foundation model training
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
AI Research Platform for Reinforcement Learning from Real Panoramic Images.
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
DrQ: Data regularized Q
RAD: Reinforcement Learning with Augmented Data
Spriteworld: a flexible, configurable python-based reinforcement learning environment
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
An environment to high-frequency trading agents under reinforcement learning