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Shohei Kato

2 accepted papers

2026

Reinforcement Learning with Fuzzy Human Attention-Guided Graph for Heterogeneous Multiagent Systems

AAAI 2026technical

Effective agent coordination is crucial in cooperative Multiagent Reinforcement Learning (MARL). While recent advances have significantly improved cooperation by modeling agent interactions through various graph structures, most existing approaches primarily focus on homogeneous agents. Despite the

Cited by 0SourcePDFScholar
2024

Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems

NeurIPS 2024poster

Due to the exponential growth of agent interactions and the curse of dimensionality, learning efficient coordination from scratch is inherently challenging in large-scale multi-agent systems. While agents' learning is data-driven, sampling from millions of steps, human learning processes are quite d…

Cited by 0SourcePDFScholar