#计算机科学#A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control.
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Reinforcement learning resources curated
A course in reinforcement learning in the wild
Deep Reinforcement Learning for Keras.
翻译 - Keras的深度强化学习。
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
翻译 - rllab是用于开发和评估强化学习算法的框架，与OpenAI Gym完全兼容。
Massively Parallel Deep Reinforcement Learning. 🔥
翻译 - 使用Pytorch的深度加强学习算法轻量级，高效稳定的实现。
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
Tonic RL library
翻译 - 补品RL库
RL research on Android devices.
Library for Model Based RL
Multitask Environments for RL
Multi Task RL Baselines
RL Environments in JAX 🌍
A PyTorch Platform for Distributed RL
翻译 - 分布式RL的PyTorch平台
Augmented environments with RL
Modularized Implementation of Deep RL Algorithms in PyTorch
Deep RL algorithm in pytorch
Some basic examples of playing with RL
Structural implementation of RL key algorithms
翻译 - RL密钥算法的结构化实现
Implementation of Meta-RL A3C algorithm