October 1, 2025Open Access

PolicyEvol-Agent: Evolving Policy via Environment Perception and Self-Awareness with Theory of Mind

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PolicyEvol-Agent shows significant improvement in gaming outcomes, enhancing decision-making and strategy.
The framework employs large language models to better understand and predict opponent intentions during gameplay.
Simulation results indicate that the use of theory of mind leads to superior strategies in dynamic gaming scenarios.
Dynamic guideline adjustments through policy evolution reveal effectiveness in both automatic and human evaluations.

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Implication

Agent-based methods demonstrated superior gaming performance using cognitive operations and policy evolution, highlighting the role of theory of mind.

Cite This Study

Yu et al. (2025) studied this question.

synapsesocial.com/papers/68dd91c7fe798ba2fc49845e https://doi.org/10.48550/arxiv.2504.15313

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Implication

Agent-based methods demonstrated superior gaming performance using cognitive operations and policy evolution, highlighting the role of theory of mind.

PolicyEvol-Agent: Evolving Policy via Environment Perception and Self-Awareness with Theory of Mind

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Implication

Cite This Study

PolicyEvol-Agent: Evolving Policy via Environment Perception and Self-Awareness with Theory of Mind

Key Points

Discussion

Implication

Cite This Study

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