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Weiran Guo

2 accepted papers

2025

Robust Multi-Agent Reinforcement Learning with Stochastic Adversary

ICML 2025poster

The performance of models trained by Multi-Agent Reinforcement Learning (MARL) is sensitive to perturbations in observations, lowering their trustworthiness in complex environments. Adversarial training is a valuable approach to enhance their performance robustness. However, existing methods often o…

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