230 search results - page 20 / 46 » Computing Optimal Strategies to Commit to in Stochastic Game... |
STACS
2007
Springer
14 years 2 months ago
2007
Springer
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. Performances of an MDP are evaluated by a payoff function. The controller of ...
CIG
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— Many games require opponent modelling for optimal performance. The implicit learning and adaptive nature of evolutionary computation techniques offer a natural way to d...
CVPR
1998
IEEE
14 years 10 months ago
1998
IEEE
A new algorithm and systematic evaluation is presented for searching a database via relevance feedback. It represents a new image display strategy for the PicHunter system [2, 1]....
FSTTCS
2010
Springer
13 years 5 months ago
2010
Springer
In mean-payoff games, the objective of the protagonist is to ensure that the limit average of an infinite sequence of numeric weights is nonnegative. In energy games, the objectiv...
ATAL
2010
Springer
13 years 9 months ago
2010
Springer
Games are used to evaluate and advance Multiagent and Artificial Intelligence techniques. Most of these games are deterministic with perfect information (e.g. Chess and Checkers)....