multi-agent-reinforcement-learning

Automate farming, egg hatching, and Backrooms League progression in Pet Simulator 99 with this script for Roblox.

Automate coin collection, egg hatching, and backrooms farming in Pet Simulator 99 with this undetected trainer.

Automate coin collection, egg hatching, and Backrooms League tasks in Pet Simulator 99 with this efficient farm trainer.

Automate farming, egg hatching, and Backrooms League progression in Pet Simulator 99 with this undetectable script.

Visualize and compare reinforcement learning algorithms for LLM training with interactive formulas, pipeline flow, and algorithm metrics.

🛡️ Simulate breach probabilities and visualize cybersecurity risk with CyberForge, an interactive dashboard for effective security investment communication.

⚙️ Build and manage React projects effortlessly with Vite, featuring HMR, ESLint rules, and easy plugin integration for a smooth development experience.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek, Gemini and 300+ models

Open-Source Library for Fully Cooperative Multi-LLM Reinforcement Learning

LLM Collaboration for Article Writing

LLM Collaboration for Code Generation

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Curated, annotated list of multi-agent systems resources — MARL, game theory, negotiation, LLM agent teams, MCP/A2A protocols, benchmarks, and frameworks

A virtual sandbox economy powered by learning AI citizens to test financial policies and market rules in real time.

Automate grinding, accelerate pet progression, and manage resources efficiently with this Pet Simulator 99 Roblox script.

a small, safe world where kitties frolic and play (with cooperative multi-agent reinforcement learning, and an engine that protects them)

🤖 Discover the latest research papers on ArXiv tailored to your interests using AI-powered analysis and smart search features.

Multi-Agent RL (MADDPG) for multi-echelon supply chain coordination — built from scratch in pure NumPy

An RLlib new-API-stack port of Vinitsky et al.'s (2019) Sequential Social Dilemma environments code base, with a Leibo-style dilemma-inequality evaluation