Abstract: Real-time search is a standard approach to solving search problems in which agents have limited sensing capabilities and must act quickly.
Approaches that use look ahead or learning are used to overcome this drawback. They perform more computation in the planning phase compared to LRTA* andRTA* .
Approaches that use look ahead or learning are used to overcome this drawback. They perform more computation in the planning phase compared to LRTA* andRTA* .
Nov 15, 2010 · We show that our algorithm outperforms LRTA* and RTA* in standard real-time benchmark problems. Furthermore, we show that in some cases, PRTA* ...
Real-time search is a standard approach to solving search problems in which agents have limited sensing capabilities and must act quickly.
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The author discusses several reasons why a heuristic search algorithm for single-agent problems should not always be run until a solution is found.
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