awesome-deep-rl

A curated list of awesome Deep Reinforcement Learning resources.
https://github.com/kengz/awesome-deep-rl

Last synced: 4 days ago
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Environments
- DeepMind RL Unplugged - Benchmarks for Offline Reinforcement Learning.
- RoboNet - A Dataset for Large-Scale Multi-Robot Learning.
- home-platform - A platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context
- AI2-THOR - A near photo-realistic interactable framework for AI agents.
- Animal-AI Olympics - An AI competition with tests inspired by animal cognition.
- Berkeley rl-generalization - Modifiable OpenAI Gym environments for studying generalization in RL.
- BTGym - Scalable event-driven RL-friendly backtesting library. Build on top of Backtrader with OpenAI Gym environment API.
- Carla - Open-source simulator for autonomous driving research.
- CuLE - A CUDA port of the Atari Learning Environment (ALE).
- Deepdrive - End-to-end simulation for self-driving cars.
- DeepMind AndroidEnv - A library for doing RL research on Android devices.
- DeepMind DM Control - The DeepMind Control Suite and Package.
- DeepMind pycolab - A highly-customisable gridworld game engine with some batteries included.
- Facebook EmbodiedQA - Train embodied agents that can answer questions in environments.
- Facebook House3D - A Rich and Realistic 3D Environment.
- Facebook natural_rl_environment - natural signal Atari environments, introduced in the paper Natural Environment Benchmarks for Reinforcement Learning.
- Google Research Football - An RL environment based on open-source game Gameplay Football.
- GVGAI Gym - An OpenAI Gym environment for games written in the Video Game Description Language, including the Generic Video Game Competition framework.
- gym-doom - Doom environments based on VizDoom.
- gym-duckietown - Self-driving car simulator for the Duckietown universe.
- gym-gazebo2 - A toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo.
- gym-ignition - Experimental OpenAI Gym environments implemented with Ignition Robotics.
- gym-idsgame - An Abstract Cyber Security Simulation and Markov Game for OpenAI Gym
- gym-super-mario - 32 levels of original Super Mario Bros.
- Holodeck - High Fidelity Simulator for Reinforcement Learning and Robotics Research.
- ma-gym - A collection of multi agent environments based on OpenAI gym.
- mazelab - A customizable framework to create maze and gridworld environments.
- Microsoft AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research.
- Microsoft Jericho - A learning environment for man-made Interactive Fiction games.
- Microsoft MazeExplorer - Customisable 3D environment for assessing generalisation in Reinforcement Learning.
- Microsoft TextWorld - A text-based game generator and extensible sandbox learning environment for training and testing reinforcement learning (RL) agents.
- MineRL - MineRL Competition for Sample Efficient Reinforcement Learning.
- OpenAI Coinrun - Code for the environments used in the paper Quantifying Generalization in Reinforcement Learning.
- OpenAI Gym Retro - Retro Games in Gym.
- OpenAI Gym Soccer - A multiagent domain featuring continuous state and action spaces.
- OpenAI Gym - A toolkit for developing and comparing reinforcement learning algorithms.
- OpenAI Multi-Agent Particle Environment - A simple multi-agent particle world with a continuous observation and discrete action space, along with some basic simulated physics.
- OpenAI Neural MMO - A Massively Multiagent Game Environment.
- OpenAI Procgen Benchmark - Procedurally Generated Game-Like Gym Environments.
- OpenAI Roboschool - Open-source software for robot simulation, integrated with OpenAI Gym.
- OpenAI RoboSumo - A set of competitive multi-agent environments used in the paper Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments.
- OpenAI Safety Gym - Tools for accelerating safe exploration research.
- Personae - RL & SL Methods and Envs For Quantitative Trading.
- Pommerman - A clone of Bomberman built for AI research.
- pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform
- PyGame Learning Environment - Reinforcement Learning Environment in Python.
- RLBench - A large-scale benchmark and learning environment.
- RLGym - A python API to treat the game Rocket League as an OpenAI Gym environment.
- RLTrader - A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym.
- rocket-lander - SpaceX Falcon 9 Box2D continuous-action simulation with traditional and AI controllers.
- Stanford Gibson Environments - Real-World Perception for Embodied Agents.
- Stanford osim-rl - Reinforcement learning environments with musculoskeletal models.
- UnityObstableTower - A procedurally generated environment consisting of multiple floors to be solved by a learning agent.
- DouZero - A research platform for reinforcement learning in DouDizhu (Chinese poker).
- Microsoft Malmö - A platform for Artificial Intelligence experimentation and research built on top of Minecraft.
- Meta-World - An open source robotics benchmark for meta- and multi-task reinforcement learning.
- Unity ML-Agents Toolkit - Unity Machine Learning Agents Toolkit.
- DeepMind Lab - A customisable 3D platform for agent-based AI research.
- DeepMind PySC2 - StarCraft II Learning Environment.
- VizDoom - Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.
Competitions
Timeline
Books
Tutorials
Blogs
Benchmark Results
Libraries
- Berkeley Ray RLLib - An open-source library for reinforcement learning that offers both high scalability and a unified API for a variety of applications.
- Berkeley Softlearning - A reinforcement learning framework for training maximum entropy policies in continuous domains.
- Catalyst - Accelerated DL & RL.
- ChainerRL - A deep reinforcement learning library built on top of Chainer.
- DeepRL - Modularized Implementation of Deep RL Algorithms in PyTorch.
- DeepX machina - A library for real-world Deep Reinforcement Learning which is built on top of PyTorch.
- Facebook ELF - A platform for game research with AlphaGoZero/AlphaZero reimplementation.
- Facebook ReAgent - A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
- garage - A toolkit for reproducible reinforcement learning research.
- Google Dopamine - A research framework for fast prototyping of reinforcement learning algorithms.
- Google TF-Agents - TF-Agents is a library for Reinforcement Learning in TensorFlow.
- MAgent - A Platform for Many-agent Reinforcement Learning.
- Maze - Application-oriented deep reinforcement learning framework addressing real-world decision problems.
- MushroomRL - Python library for Reinforcement Learning experiments.
- pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
- pytorch-rl - Model-free deep reinforcement learning algorithms implemented in Pytorch.
- reaver - A modular deep reinforcement learning framework with a focus on various StarCraft II based tasks.
- RLgraph - Modular computation graphs for deep reinforcement learning.
- RLkit - Reinforcement learning framework and algorithms implemented in PyTorch.
- rlpyt - Reinforcement Learning in PyTorch.
- RLtools - The fastest deep reinforcement learning library for continuous control, implemented in pure, dependency-free C++ (Python bindings available as well).
- SLM Lab - Modular Deep Reinforcement Learning framework in PyTorch.
- Stable Baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.
- TensorForce - A TensorFlow library for applied reinforcement learning.
- UMass Amherst Autonomous Learning Library - A PyTorch library for building deep reinforcement learning agents.
- vel - Bring velocity to deep-learning research.
- DI-engine - A generalized decision intelligence engine. It supports various Deep RL algorithms.
- DeepMind TRFL - TensorFlow Reinforcement Learning.
- DeepMind OpenSpiel - A collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
- DeepMind Acme - A research framework for reinforcement learning.

Programming Languages

Python 66 C++ 11 C 3 Java 3 Jupyter Notebook 3 C# 2

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Awesome

awesome-deep-rl

Environments

Competitions

Timeline

Books

Tutorials

Blogs

Benchmark Results

Libraries