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个人简介
Boutilier's research interests have spanned a wide range of topics, from knowledge representation, belief revision, default reasoning, and philosophical logic, to probabilistic reasoning, decision making under uncertainty, multiagent systems, and machine learning. His current research efforts focus on various aspects of decision making under uncertainty: preference elicitation, mechanism design, game theory and multiagent decision processes, economic models, social choice, computational advertising, Markov decision processes, reinforcement learning and probabilistic inference. He has published over 200 articles in refereed journals, conference proceedings, and other edited collections. He holds eight patents (with various others more pending).
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AAAI 2024no. 20 (2024): 22575-22583
ACM Transactions on Recommender Systems (2024)
CoRR (2024)
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arXiv (Cornell University) (2023)
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