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

docker image for reinforcement learning including Open AI roboschool

Load motion capture data into Roboschool/MuJoCo

Neural Ordinary Differential Equations for Reinforcement Learning

Implementation of Deep Bayesian Quadrature Policy Optimization (https://arxiv.org/abs/2006.15637) :- A modular source code for on-policy policy gradient algorithms.

TensorFlow implementations of different reinforcement learning algorithms.

roboschool environment for baxter ball striking

Docker hub for easily setting up reinforcement learning research environment

WalkYTo-rl-gym Environment. Walk Yourself, Toddler! Toddlers can learn by deep reinforcement learning now.

Keras Implementation of DDPG(Deep Deterministic Policy Gradient) on OpenAI gym framwork

[Book] :- Andrea Lonza - Reinforcement Learning Algorithms with Python_ Learn, understand, and develop smart algorithms for addressing AI challenges-Packt Publishing (2019)

A python package for our RaspiBot robot