most citedPATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

9 citations · 9 across the 3 of their papers we have counts for

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cs.MA2025

Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning

Rex Chen, Stephanie Milani, Zhicheng Zhang +2

Poor interpretability hinders the practical applicability of multi-agent reinforcement learning (MARL) policies. Deploying interpretable surrogates of uninterpretable policies enha…