Agent Reinforcement Learning

A multi-agent reinforcement learning scheduling algorithm integrating state graph and task graph structural modeling for ride-sharing dispatching

Urban-scale ride-hailing dispatch faces critical challenges such as heterogeneous demand density, highly dynamic state transitions, and multi-agent coordination. Traditional rule-based or heuristic ...

Nature

A multi-agent reinforcement learning framework for exploring dominant strategies in iterated and evolutionary games

Exploring dominant strategies in iterated games holds theoretical and practical significance across diverse domains. Previous studies, through mathematical analysis of limited cases, have unveiled ...

EurekAlert!

A new AI-based attack framework advances multi-agent reinforcement learning by amplifying vulnerability and bypassing defenses

Researchers have developed a new artificial intelligence approach that exposes critical weaknesses in multi-agent reinforcement learning systems, enabling stronger coordinated attacks with broad ...

Forbes

Show inaccessible results

A multi-agent reinforcement learning scheduling algorithm integrating state graph and task graph structural modeling for ride-sharing dispatching

A multi-agent reinforcement learning framework for exploring dominant strategies in iterated and evolutionary games

A new AI-based attack framework advances multi-agent reinforcement learning by amplifying vulnerability and bypassing defenses

The Rise And Rise Of Reinforcement Learning: AI’s Quiet Revolution

Google finds that AI agents learn to cooperate when trained against unpredictable opponents

DeepMind researchers say reinforcement learning is the key to cracking general AI

DeepMind says reinforcement learning is ‘enough’ to reach general AI

MoEngage Acquires Aampe to Bring 1:1 Agentic Decisioning to B2C Marketing Teams