Multi-Agent Competitive Reinforcement Learning

Reinforcing Competitive Multi-Agents for Playing ‘So Long Sucker’Подробнее

CODE Multi-Agent RL: 20x Code + ReDel + AgentScopeПодробнее

Malintha Fernando - Graphical Methods for Multi-Robot Control in Mixed-Competitive EnvironmentsПодробнее

Multi-Agent AI Team for Competitor AnalysisПодробнее

When are Offline Multi-Agent Games Solvable?Подробнее

Unlocking Reciprocal Cooperation in Competitive EnvironmentsПодробнее

CHM Seminar: Artificial Intelligence, Algorithmic Recommendations, and Competition – Emilio CalvanoПодробнее

NEW Multi-Agent Dynamics w/ Self-Play RLПодробнее

Building a Poker Bot for Training & Competitive Play: Advanced Programming & Learning StrategiesПодробнее

Retrospective on multi-agent learning as a path to intelligenceПодробнее

Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in SimulationПодробнее

Learning Adaptive Safety in Multi-Agent SystemsПодробнее

AI Olympics (multi-agent reinforcement learning)Подробнее

How Multi-Agent AI learn by continuously competing against themselves | Self PlayПодробнее

Competitive Multi-Agent RL Simulation Using ROS2 and GazeboПодробнее

Fully Decentralized RL in Complex Multi-Agent SettingsПодробнее

Multi-Agent Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles | IROS 2023Подробнее

Competitive Multi-Agent Reinforcement Learning Applied to Robot Soccer Penalty KicksПодробнее

IROS'24 MAD Games: Multi-Agent Dynamic Games Workshop - Contributed Session 2Подробнее

Eric Mazumdar - Provably Convergent Independent Learning w/ Function Approximation in Competitive RLПодробнее