## 19 packages found

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

A simple agent that will explore a game world.

Bayesian bandit implementation for Node and the browser.

Reinforcement learning (Q-Learning) library

A Neural Network for Reinforcement Learning in TypeScript

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.

- reinforce
- reinforcement
- deep learning
- reinforcement learning
- ai
- artificial intelligence
- q-learning
- deep-q-network
- dqn
- sarsa
- temporal difference
- deepmind
- deterministic policy gradients
- recurrent
- View more

A Neural Network for Reinforcement Learning in TypeScript

Simple chess engine to play with deep reinforcement learning

wasm bindings for vowpal wabbit

A Neural Network for Reinforcement Learning in TypeScript

A Neural Network for Reinforcement Learning in TypeScript

js neat library

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

reinforcement learning in javascript

reinforcement learning in javascript (fork supporting promises)

immutable memory implementation for markovjs

Library implementing the double-q-learning algorithm.

- reinforcement learning
- q-learning
- double-q-learning
- machine learning
- reinforcement
- ml
- rl
- q
- exploration
- exploitation

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

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