122 search results - page 7 / 25 » Probabilistic Techniques in Algorithmic Game Theory |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
This paper reports on a novel decentralised technique for planning agent schedules in dynamic task allocation problems. Specifically, we use a Markov game formulation of these pr...
GLVLSI
2007
IEEE
14 years 1 months ago
2007
IEEE
A probabilistic power estimation technique for combinational circuits is presented. A novel set of simple waveforms is the kernel of this technique. The transition density of each...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Bayesian games can be used to model single-shot decision problems in which agents only possess incomplete information about other agents, and hence are important for multiagent co...
ATAL
2011
Springer
12 years 7 months ago
2011
Springer
Motivated by a machine learning perspective—that gametheoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal...