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Gentoku Nakasone

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Conference Open access Nov 2025

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

The proposed method, which extends previous work on controllability in multi-agent deep reinforcement learning, enables uninstructed agents to adaptively complement overlooked tasks and areas and enables uninstructed agents to implicitly complement the overall work based on the actions of other agents.

Y. Takahagi, Gentoku Nakasone, Yoshinari Motokawa et al. · 0 citations

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