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26

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Multiagent×1AI×1

Frequent co-authors

Gentoku Nakasone1×
Yoshinari Motokawa1×
Toshiharu Sugawara1×

Research Timeline

2026
Strategy-Following Multi-Agent Deep Reinforcement Learning Considering Control Strategies Provided to Other Agents

This paper proposes a method for multi-agent systems that allows human managers to control learned agents through simple instructions and enables uninstructed agents to adaptively complement overlooked tasks.

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Papers