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» Efficient Approximation of Optimal Control for Markov Games
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AMAI
2006
Springer
14 years 9 months ago
Symmetric approximate linear programming for factored MDPs with application to constrained problems
A weakness of classical Markov decision processes (MDPs) is that they scale very poorly due to the flat state-space representation. Factored MDPs address this representational pro...
Dmitri A. Dolgov, Edmund H. Durfee
CDC
2010
IEEE
130views Control Systems» more  CDC 2010»
14 years 4 months ago
Generalized efficiency bounds in distributed resource allocation
Game theory is emerging as a popular tool for distributed control of multiagent systems. In order to take advantage of these game theoretic tools the interactions of the autonomous...
Jason R. Marden, Tim Roughgarden
CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
15 years 3 months ago
Oblivious equilibrium for large-scale stochastic games with unbounded costs
— We study stochastic dynamic games with a large number of players, where players are coupled via their cost functions. A standard solution concept for stochastic games is Markov...
Sachin Adlakha, Ramesh Johari, Gabriel Y. Weintrau...
JAIR
2006
122views more  JAIR 2006»
14 years 9 months ago
Solving Factored MDPs with Hybrid State and Action Variables
Efficient representations and solutions for large decision problems with continuous and discrete variables are among the most important challenges faced by the designers of automa...
Branislav Kveton, Milos Hauskrecht, Carlos Guestri...
CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
14 years 4 months ago
Optimal cross-layer wireless control policies using TD learning
We present an on-line crosslayer control technique to characterize and approximate optimal policies for wireless networks. Our approach combines network utility maximization and ad...
Sean P. Meyn, Wei Chen, Daniel O'Neill