Reinforcement Packages

A tabular implementation of the SARSA reinforcement learning algorithm which is related to Q-learning

a general SARSA implementation, an A.I. tool useful for machine learning

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.

Library implementing the double-q-learning algorithm.

Library implementing the q-learning algorithm and several exploration algorithms.

Bayesian bandit implementation for Node and the browser.

immutable memory implementation for markovjs

A simple agent that will explore a game world.

A rewards system that helps you reinforce your good habits!

reinforcement learning in javascript

reinforcement learning in javascript (fork supporting promises)

Simple chess engine to play with deep reinforcement learning

shortest paths that become 'more popular' with repeated use. simulate forest trail formation, infrastructure network growth, plant root growth, mold growth, other analogous phenomena, etc.

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games. OpenSpiel supports n-player (single- and multi- agent) zero-sum, cooperative and general-sum, one-shot and sequential, st

OpenAI style Gym for javascript

js neat library

A Neural Network for Reinforcement Learning in TypeScript

Reinforcement learning (Q-Learning) library

A Neural Network for Reinforcement Learning in TypeScript

A Neural Network for Reinforcement Learning in TypeScript