## 21 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 Neural Network for Reinforcement Learning in TypeScript

wasm bindings for vowpal wabbit

Simple chess engine to play with deep reinforcement 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.

- 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

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.

A Neural Network for Reinforcement Learning in TypeScript

js neat library

A rewards system that helps you reinforce your good habits!

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

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 double-q-learning algorithm.

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