Shypd.aiThe largest open index of AI toolsreinforcejs is an AI Frameworks & Infra tool that provides Reinforcement Learning agents in Javascript. It includes various RL algorithms like Dynamic Programming, Temporal Difference, Deep Q-Learning, and Policy Gradients for web demos.
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reinforcejs is a comprehensive Reinforcement Learning library implemented in Javascript, offering a suite of common RL algorithms for developers. It features Dynamic Programming methods for tabular environments, Temporal Difference Learning (SARSA/Q-Learning) for finite state/action spaces, and Deep Q-Learning for continuous state features with discrete actions, leveraging neural networks. The library also supports Stochastic and Deterministic Policy Gradients, along with Actor Critic architectures, specifically designed for handling continuous action spaces. While these advanced methods are noted as being in alpha, potentially buggy or finicky, the library provides web demos and detailed documentation to guide users through its functionalities. It integrates with recurrentjs for building expression graphs and automatic backpropagation.
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