Results for reinforcement-learning

Reinforcement learning in javascript

An API standard for single-agent reinforcement learning environments

Persistent memory system for coding agents with reinforcement learning. Powered by Turso.

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.

Reinforcement learning library, based on the Quality learning technique

A Neural Network for Reinforcement Learning in TypeScript

Reinforcement learning (Q-Learning) library

Reinforcement learning using Markov Decision Processes

Gym for typescript, A toolkit for developing and comparing reinforcement learning algorithms.

AI Kit - AINative RLHF (Reinforcement Learning from Human Feedback) integration

This is a simple framework for implementing and testing reinforcement learning environments and algorithms

Core interfaces for rl-js: Reinforcement Learning in JavaScript

Configuration utilities for rl-js: Reinforcement Learning in JavaScript

Othello utility with min/max and reinforcement learning algorithms

BrothRL - Reinforcement Learning SDK for Voice Agents

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

Physics simulations for reinforcement learning using WebAssembly and Box2D.

reinforcement learning in javascript

A Neural Network for Reinforcement Learning in TypeScript

A JavaScript Environment for Reinforcement Learning.

Reinforcement learning action selection policies in JavaScript

Classic Control reinforcement learning environments in JavaScript

A reinforcement learning environment for self-driving cars in the browser.

The Reinforcement Learning with Deep Q-Networks (DQN) is a Python class that implements the DQN algorithm for reinforcement learning tasks. It allows agents to learn optimal policies through interaction with an environment using Q-learning and deep neural