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20242026
most citedHuman-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities

4 citations · 5 across the 8 of their papers we have counts for

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cs.MA2025

Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning

Simin Li, Zihao Mao, Hanxiao Li +13

In cooperative Multi-Agent Reinforcement Learning (MARL), it is a common practice to tune hyperparameters in ideal simulated environments to maximize cooperative performance. Howev…