AAAI Publications, Twelfth Annual Symposium on Combinatorial Search

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Real-Time Heuristic Search in Dynamic Environments
Chao Chi Cheng, Wheeler Ruml

Last modified: 2019-07-05

Abstract


In dynamic environments, agents often do not have time to find a complete plan to reach a goal state, but rather must act quickly under changing circumstances. Real-time heuristic search models this setting by requiring that the agent's next action must be selected within a prespecified time bound. In this paper, we study real-time search algorithms that can tolerate a dynamic environment, in which action costs are not fully predictable. We propose a combination of two previously-proposed methods and study its behavior both theoretically and empirically on several different benchmark domains.

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