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Shota Takayama

1 paper hereh-index 11 citations4 works total

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.MA1

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collaborators

1 paper

cs.MA2025

AOAD-MAT: Transformer-based multi-agent deep reinforcement learning model considering agents' order of action decisions

Shota Takayama, Katsuhide Fujita

Multi-agent reinforcement learning focuses on training the behaviors of multiple learning agents that coexist in a shared environment. Recently, MARL models, such as the Multi-Agen…

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