Abstract
In this paper, we experimentally analyze robustness of two state-of-the- art algorithms NMC and LSI for online planning with combinatorial actions in various setups of Real-Time and Turn-Taking Strategy games.
In online planning with a team of cooperative agents, a straightforward model for decision making which actions the agents should execute can be represented as the problem of Combinatorial Multi-Armed Bandit. Similarly to the most prominent approaches for online planning with polynomial number of possible actions, state-of-the-art algorithms for online planning with exponential number of actions are based on Monte-Carlo sampling. However, without a proper selection of the appropriate subset of actions these techniques cannot be used. The most recent algorithms tackling this problem utilize an assumption of linearity with respect to the combinations of the actions.
Original language | English |
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Title of host publication | Computer Games - 3rd Workshop on Computer Games, CGW 2014 Held in Conjunction with the 21st European Conference on Artificial Intelligence, ECAI 2014, Revised Selected Papers |
Editors | Tristan Cazenave, Yngvi Björnsson, Mark H.M. Winands |
Publisher | Springer Verlag |
Pages | 16-28 |
Number of pages | 13 |
ISBN (Electronic) | 9783319149226 |
DOIs | |
State | Published - 2014 |
Externally published | Yes |
Event | 3rd Workshop on Computer Games, CGW 2014 held in Conjunction with the 21st European Conference on Artificial Intelligence, ECAI 2014 - Prague, Czech Republic Duration: 18 Aug 2014 → 18 Aug 2014 |
Publication series
Name | Communications in Computer and Information Science |
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Volume | 504 |
ISSN (Print) | 1865-0929 |
Conference
Conference | 3rd Workshop on Computer Games, CGW 2014 held in Conjunction with the 21st European Conference on Artificial Intelligence, ECAI 2014 |
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Country/Territory | Czech Republic |
City | Prague |
Period | 18/08/14 → 18/08/14 |
Bibliographical note
Publisher Copyright:© Springer International Publishing Switzerland 2014.