Rl Open Source Projects

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

An educational resource to help anyone learn deep reinforcement learning.

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

An elegant PyTorch deep reinforcement learning library.

Reinforcement learning resources curated

A curated list of practical financial machine learning tools and applications.

A course in reinforcement learning in the wild

📈 如何用深度强化学习自动炒股

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

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

Intro to Reinforcement Learning (强化学习纲要）

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

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Hands-on Deep Reinforcement Learning, published by Packt

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

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

MuZero

Implementation of papers in 100 lines of code.

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

中文整理的强化学习资料（Reinforcement Learning）

A toolkit for reproducible reinforcement learning research.

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

An offline deep reinforcement learning library

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

For deep RL and the future of AI.

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

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

RL implementations

SMAC: The StarCraft Multi-Agent Challenge

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

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

The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control.

Scalable Multi-Agent RL Training School for Autonomous Driving

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

High throughput synchronous and asynchronous reinforcement learning

The NetHack Learning Environment

Python library for Reinforcement Learning.

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

A curated list of awesome Deep Reinforcement Learning resources.

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

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

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.

User Simulation for Task-Completion Dialogues

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

A simple OpenAI Gym environment for single and multi-agent reinforcement learning

A Configurable Recommender Systems Simulation Platform

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

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

Deep Reinforcement Learning For Sequence to Sequence Models

A PyTorch Platform for Distributed RL