Understanding the Role of Exploration in Search and Planning

作为一名计算机科学研究人员，我的目标是在解决越来越复杂的现实问题方面取得进展。智能自动化决策需要对应用程序域进行建模，并处理潜在的巨大空间，有时离线，但越来越多地在实时设置中。我和我的研究小组一起研究解决难题的高效搜索算法。强大的解决方案技术包括抽象，分而治之的策略，以及许多类型的系统和启发式搜索。虽然我的研究议程涉及这些方法的许多方面的工作，但当前的提案重点关注启发式搜索探索的主题，这已成为推动我最近大部分工作的共同主题。

As a researcher in Computing Science, my goal is to make progress towards solving ever more complex real-world problems. Intelligent automated decision-making requires modelling an application domain, and processing a potentially huge space of possible future alternatives, sometimes offline but more and more often in a real-time setting. With my research group I study efficient search algorithms for solving hard problems. Powerful solution techniques include abstraction, divide and conquer strategies, and many types of systematic and heuristic search. While my research agenda involves work on many aspects of these approaches, the current proposal focuses on the topic of exploration in heuristic search, which has emerged as the common theme that drives much of my recent work.