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- W4313495886 abstract "In human cooperative behavior, there are some strategies: a passive behavioral strategy based on others’ behaviors and an active behavioral strategy based on the objective-first. However, it is unclear how to acquire a meta-strategy to switch those strategies. In this study, we conduct a collision-avoidance experiment with agents taking multiple strategies in a grid-like corridor to see whether the subject’s behavior changes when the agent’s strategy changes. Furthermore, we compare the behavior selected by the subjects with the behavior of the agents acquired by reinforcement learning. The experimental results show that subjects can read the change in strategy from the behavior of the opposing agent." @default.
- W4313495886 created "2023-01-06" @default.
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- W4313495886 date "2022-11-29" @default.
- W4313495886 modified "2023-10-16" @default.
- W4313495886 title "Estimating Human Strategies by Collision Avoidance Experiments with Meta-strategy Agents" @default.
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- W4313495886 doi "https://doi.org/10.1109/scisisis55246.2022.10002158" @default.
- W4313495886 hasPublicationYear "2022" @default.
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