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Found 2 papers, 1 papers with code
Online Goal Recognition in Discrete and Continuous Domains Using a Vectorial Representation
While recent work on online goal recognition efficiently infers goals under low observability, comparatively less work focuses on online goal recognition that works in both discrete and continuous domains.
Goal Recognition as Reinforcement Learning
In this paper, we develop a framework that combines model-free reinforcement learning and goal recognition to alleviate the need for careful, manual domain design, and the need for costly online executions.
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