A collection of various reinforcement learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.
A JavaScript Environment for Reinforcement Learning.
Library implementing the double-q-learning algorithm.
Library implementing the q-learning algorithm and several exploration algorithms.
A minimal library for Deep learning for the web
Reinforcement learning in javascript
A client library for the Azure Personalizer service.
Gym for typescript, A toolkit for developing and comparing reinforcement learning algorithms.
Proximal Policy Optimization (PPO) in Tensorflow.js
This is a simple framework for implementing and testing reinforcement learning environments and algorithms
Contains Classes specific for usage in a node environment.
Contains Classes specific for usage in a web environment usage.