Proceedings:
Proceedings of the International Symposium on Combinatorial Search, 6
Volume
Issue:
Vol. 6 No. 1 (2013): Sixth Annual Symposium on Combinatorial Search
Track:
Full Papers
Downloads:
Abstract:
Monte-Carlo search is successfully used in simulation-based planning for various large-scale sequential decision problems, and the UCT algorithm seems to be the choice in most (if not all) such recent success stories. Based on some recent discoveries in theory and empirical analysis of Monte-Carlo search, here we argue that, if online sequential decision making is your problem, and Monte-Carlo tree search is your way to go, then UCT is unlikely to be the best fit for your needs.
DOI:
10.1609/socs.v4i1.18299
SOCS
Vol. 6 No. 1 (2013): Sixth Annual Symposium on Combinatorial Search