a general SARSA implementation, an A.I. tool useful for machine learning
A tabular implementation of the SARSA reinforcement learning algorithm which is related to Q-learning
Self-Optimizing Neural Architecture (SONA) for Claude Flow — adaptive learning, trajectory tracking, pattern reuse, 7 RL algorithms (PPO/A2C/DQN/Q-Learning/SARSA/Decision Transformer/Curiosity), Flash Attention, MoE routing, LoRA, EWC++ for continual lear
Self-Optimizing Neural Architecture (SONA) for Cognition — adaptive learning, trajectory tracking, pattern reuse, 7 RL algorithms (PPO/A2C/DQN/Q-Learning/SARSA/Decision Transformer/Curiosity), Flash Attention, MoE routing, LoRA, EWC++ for continual learni
Self-Optimizing Neural Architecture (SONA) for Claude Flow — adaptive learning, trajectory tracking, pattern reuse, 7 RL algorithms (PPO/A2C/DQN/Q-Learning/SARSA/Decision Transformer/Curiosity), Flash Attention, MoE routing, LoRA, EWC++ for continual lear
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.
Neural module - SONA learning integration, neural modes
Self-learning dynamic pricing with RL optimization and swarm strategy exploration
**@brain/rl** is a Reinforcement Learning library that implements several common RL algorithms, all with web demos. In particular, the library currently includes:
A library using TensorFlow.js for Deep Reinforcement Learning
A library using TensorFlow.js for Deep Reinforcement Learning
Reinforcement Learning library
reinforcement learning in javascript
reinforcement learning in javascript (fork supporting promises)
A minimal Rust library crate for solving finite deterministic Markov decision processes (MDPs)
Safe Rust. No Deps. RL for the CPU.
A collection of algorithms in Rust
No description provided.
No description provided.