roboschool

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).

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Neural Ordinary Differential Equations for Reinforcement Learning

Load motion capture data into Roboschool/MuJoCo

Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.

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