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cs.AI2025
Exploring Explainable Multi-agent MCTS-minimax Hybrids in Board Game Using Process Mining
Yiyu Qian, Tim Miller, Zheng Qian +1
Monte-Carlo Tree Search (MCTS) is a family of sampling-based search algorithms widely used for online planning in sequential decision-making domains and at the heart of many recent…
cs.AI2024
Where Common Knowledge Cannot Be Formed, Common Belief Can -- Planning with Multi-Agent Belief Using Group Justified Perspectives
Guang Hu, Tim Miller, Nir Lipovetzky
Epistemic planning is the sub-field of AI planning that focuses on changing knowledge and belief. It is important in both multi-agent domains where agents need to have knowledge/be…