44 search results - page 1 / 9 » Learning and Approximating the Optimal Strategy to Commit To |
SAGT
2009
Springer
13 years 11 months ago
2009
Springer
Computing optimal Stackelberg strategies in general two-player Bayesian games (not to be confused with Stackelberg strategies in routing games) is a topic that has recently been ga...
ATAL
2006
Springer
13 years 8 months ago
2006
Springer
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
JMLR
2006
13 years 4 months ago
2006
Fast and frugal heuristics are well studied models of bounded rationality. Psychological research has proposed the take-the-best heuristic as a successful strategy in decision mak...
SIGDIAL
2010
13 years 2 months ago
2010
Spoken dialogue management strategy optimization by means of Reinforcement Learning (RL) is now part of the state of the art. Yet, there is still a clear mismatch between the comp...