Title | LRTA*(k) |
Publication Type | Conference Paper |
Year of Publication | 2005 |
Authors | Hernández C, Meseguer P |
Editor | Kaelbling LPack, Saffiotti A |
Conference Name | IJCAI ? 05. Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence |
Publisher | IJCAI - On line |
Pagination | 1238 - 1243 |
Abstract | LRTA* is a real-time heuristic search algorithm widely used. In each iteration it updates the heuristic estimate of the current state. Here we present LRTA*(k), a new LRTA*-based algorithm that is able to update the heuristic estimates of up to k states, not necessarily distinct. Based on bounded propagation, this updating strategy maintains heuristic admissibility, so the new algorithm keeps the good theoretical properties of LRTA*. Experimentally, we show that LRTA*(k) produces better solutions in the first trial and converges faster when compared with other state-of-the-art algorithms on benchmarks for real-time search |