Found 23 results for reinforcement-learning
🚀 MARIA v4.4.2 - Enterprise AI Development Platform with identity system and character voice implementation. Features 74 production-ready commands with comprehensive fallback implementation, local LLM support, and zero external dependencies. Includes nat
MCP server combining systematic thinking, mental models, debugging approaches, and stochastic algorithms for comprehensive cognitive pattern support
Agentic Quality Engineering Fleet System - AI-driven quality management platform with learning, pattern reuse, ML-based flaky detection, Multi-Model Router (70-81% cost savings), streaming progress updates, and native TypeScript hooks
Open source framework for multi-agent context control. Build PS Journals™ to track AI collaborations. Zone-based syntax: lazy close, directional context, chainable zones.
Isomorphic Three.js + Jolt Physics JSON scene runner for browser and server (Node/Bun).
A library for creating and deploying gaming agents at scale
MCP server for stochastic algorithms and probabilistic decision making
A library for creating and deploying gaming agents at scale
Core ML library for the NRN ecosystem
Polybius is a next-generation intelligent agent framework built for adaptability across diverse domains. It merges contextual awareness, multi-agent collaboration, and predictive reasoning to deliver dynamic, self-optimizing performance.
TensorFlow.js backend for IgnitionAI - browser-based reinforcement learning framework
A production-ready AI framework for Decision Tree services, supporting Deep Learning, Neural Networks, and Model Deployment.
A production-ready AI framework for Decision Tree services, supporting Deep Learning, Neural Networks, and Model Deployment.
Lightweight TypeScript neural network library with back-propagation and genetic algorithms, supporting a wide range of activation functions, all without extra build or native dependencies.
Unlocking Next-Gen AI Agents with N.E.S.T.
WebSocket client that consumes an API wrapping OpenAI Gym or gym-like environments such as Gym Retro or Unity ML-Agents.
A React library for AI-generated interactive games with reinforcement learning support
MCP server combining systematic thinking, mental models, debugging approaches, and stochastic algorithms for comprehensive cognitive pattern support
MCP server for stochastic algorithms and probabilistic decision making
Core components for IgnitionAI - browser-based reinforcement learning framework
Adaptive task queue for frontend and Node.js using reinforcement learning and queueing theory
Comprehensive Machine Learning plugin with 10 specialist agents: TensorFlow/Keras, PyTorch, RL, Scikit-learn, Neural Architecture, Gradient Boosting, Computer Vision, NLP Transformers, Time Series, and AutoML. Context7-verified patterns.
Reinforcement Learning SDK for Voice Agents - Make your voice apps intelligent