roboschool 话题在 GitHub 上没有填写简介，这里按 Star 数汇总最相关的热门仓库。
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).
Neural Ordinary Differential Equations for Reinforcement Learning
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
Load motion capture data into Roboschool/MuJoCo
docker image for reinforcement learning including Open AI roboschool
Keras Implementation of DDPG(Deep Deterministic Policy Gradient) with PER(Prioritized Experience Replay) option on OpenAI gym framework
Keras Implementation of TD3(Twin Delayed DDPG) with PER(Prioritized Experience Replay) option on OpenAI gym framework
[Book] :- Andrea Lonza - Reinforcement Learning Algorithms with Python_ Learn, understand, and develop smart algorithms for addressing AI challenges-Packt Publishing (2019)
WalkYTo-rl-gym Environment. Walk Yourself, Toddler! Toddlers can learn by deep reinforcement learning now.
TensorFlow implementations of different reinforcement learning algorithms.
Docker hub for easily setting up reinforcement learning research environment
roboschool environment for baxter ball striking
A python package for our RaspiBot robot