nrn-agents
A library for creating and deploying gaming agents at scale
Found 14 results for reinforcement-learning
A library for creating and deploying gaming agents at scale
Core ML library for the NRN ecosystem
MCP server for stochastic algorithms and probabilistic decision making
WebSocket client that consumes an API wrapping OpenAI Gym or gym-like environments such as Gym Retro or Unity ML-Agents.
TensorFlow.js backend for IgnitionAI - browser-based reinforcement learning framework
MCP server for stochastic algorithms and probabilistic decision making
Core components for IgnitionAI - browser-based reinforcement learning framework
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.
A production-ready AI framework for Decision Tree services, supporting Deep Learning, Neural Networks, and Model Deployment.
A library for creating and deploying gaming agents at scale
Unlocking Next-Gen AI Agents with N.E.S.T.
A production-ready AI framework for Decision Tree services, supporting Deep Learning, Neural Networks, and Model Deployment.
MCP server combining systematic thinking, mental models, debugging approaches, and stochastic algorithms for comprehensive cognitive pattern support
MCP server combining systematic thinking, mental models, debugging approaches, and stochastic algorithms for comprehensive cognitive pattern support