Sarit Kraus

Explainable Multi-Agent Reinforcement Learning for Temporal Queries

2023 · arXiv (Cornell University)

As multi-agent reinforcement learning (MARL) systems are increasingly deployed throughout society, it is imperative yet challenging for users to understand the emergent behaviors of MARL agents in complex environments. This work presents an approach for …

The Persuasion Paradox: When LLM Explanations Fail to Improve Human-AI Team Performance

2026 · HAL (Le Centre pour la Communication Scientifique Directe)

While natural-language explanations from large language models (LLMs) are widely adopted to improve transparency and trust, their impact on objective human-AI team performance remains poorly understood. We identify a Persuasion Paradox: fluent explanations systematically increase …