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Awesome

An open API service indexing awesome lists of open source software.

awesome-rl

Reinforcement learning resources curated
https://github.com/aikorea/awesome-rl

Last synced: 29 days ago
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Applications

Control

Game Playing

Human Computer Interaction

Operations Research

  • [Paper
  • [Paper
  • [DOI - reinforcement-learning-for-semiconductor-production-scheduling.pdf)
  • [DOI - reinforcement-learning-for-semiconductor-production-scheduling.pdf)
  • [DOI - reinforcement-learning-for-semiconductor-production-scheduling.pdf)

Robotics

Codes

Human Computer Interaction

Online Demos

Human Computer Interaction

Open Source Reinforcement Learning Platforms

Human Computer Interaction

  • Microsoft AirSim - Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research.
  • OpenAI gym - A toolkit for developing and comparing reinforcement learning algorithms
  • OpenAI universe - A software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications
  • DeepMind Lab - A customisable 3D platform for agent-based AI research
  • Project Malmo - A platform for Artificial Intelligence experimentation and research built on top of Minecraft by Microsoft
  • Retro Learning Environment - An AI platform for reinforcement learning based on video game emulators. Currently supports SNES and Sega Genesis. Compatible with OpenAI gym.
  • UETorch - A Torch plugin for Unreal Engine 4 by Facebook
  • TorchCraft - Connecting Torch to StarCraft
  • garage - A framework for reproducible reinformcement learning research, fully compatible with OpenAI Gym and DeepMind Control Suite (successor to rllab)
  • TensorForce - Practical deep reinforcement learning on TensorFlow with Gitter support and OpenAI Gym/Universe/DeepMind Lab integration.
  • OpenAI lab - An experimentation system for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
  • keras-rl - State-of-the art deep reinforcement learning algorithms in Keras designed for compatibility with OpenAI.
  • MAgent - A Platform for Many-agent Reinforcement Learning.
  • SLM Lab - A research framework for Deep Reinforcement Learning using Unity, OpenAI Gym, PyTorch, Tensorflow.
  • Unity ML Agents - Create reinforcement learning environments using the Unity Editor
  • DI-engine - DI-engine is a generalized Decision Intelligence engine. It supports most basic deep reinforcement learning (DRL) algorithms, such as DQN, PPO, SAC, and domain-specific algorithms like QMIX in multi-agent RL, GAIL in inverse RL, and RND in exploration problems.
  • Intel Coach - Coach is a python reinforcement learning research framework containing implementation of many state-of-the-art algorithms.

Theory

Books

Lectures