Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A toolkit for developing and comparing reinforcement learning algorithms.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

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

A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model

A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model