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Home/Authors/Gentoku Nakasone

Gentoku Nakasone

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
0
Benchmarked
0

Publications per year

1
26

Top categories

Multiagent×1AI×1

Frequent co-authors

Yamato Takahagi1×
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.

Highlighted terms show continued research focus across papers

Papers

cs.MAcs.AIEmpiricalRecentJul 21, 2026

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

Yamato Takahagi, Gentoku Nakasone, Yoshinari Motokawa, Toshiharu Sugawara

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 overlooke…

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