基本信息
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个人简介
Nathan's research looks broadly at heuristic and combinatorial search problems, including both theoretical and applied approaches. This includes work for single and multiple agents including specialized work involving machine learning, heuristic learning, bidirectional search, cooperative search, adversarial search, large-scale and parallel search, search for game design, abstraction and refinement, and inconsistent heuristics. His research has been implemented in commercial video games and he continues to collaborate with practitioners in the games industry.
研究兴趣
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SOCSno. 1 (2023): 158-162
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AAAIno. 10 (2023): 12473-12481
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IJCAI 2023pp.5631-5638, (2023)
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Computers and Gamespp.24-35, (2023)
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AIIDE '23: Proceedings of the Nineteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainmentno. 1 (2023): 34-42
Proceedings of the International Conference on Automated Planning and Schedulingno. 1 (2023): 26-30
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