Understanding the Role of Exploration in Search and Planning

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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.