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Open Source Reinforcement Learning Platforms
OpenAI gym - A toolkit for developing and comparing reinforcement learning algorithmsOpenAI universe - A software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applicationsDeepMind Lab - A customisable 3D platform for agent-based AI researchProject Malmo - A platform for Artificial Intelligence experimentation and research built on top of Minecraft by MicrosoftViZDoom - Doom-based AI research platform for reinforcement learning from raw visual informationRetro Learning Environment - An AI platform for reinforcement learning based on video game emulators. Currently supports SNES and Sega Genesis. Compatible with OpenAI gym.torch-twrl - A package that enables reinforcement learning in Torch by TwitterUETorch - A Torch plugin for Unreal Engine 4 by FacebookTorchCraft - Connecting Torch to StarCraftrllab - A framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI GymTensorForce - Practical deep reinforcement learning on TensorFlow with Gitter support and OpenAI Gym/Universe/DeepMind Lab integration.tf-TRFL - A library built on top of TensorFlow that exposes several useful building blocks for implementing Reinforcement Learning agents.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.BURLAP - Brown-UMBC Reinforcement Learning and Planning, a library written in JavaMAgent - A Platform for Many-agent Reinforcement Learning.Ray RLlib - Ray RLlib is a reinforcement learning library that aims to provide both performance and composability.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 EditorIntel Coach - Coach is a python reinforcement learning research framework containing implementation of many state-of-the-art algorithms.github地址：/xingzikeji/awesome-rl
