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» Efficient Approximation of Optimal Control for Markov Games
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ECAI
2004
Springer
15 years 2 months ago
Game-Theoretic Agent Programming in Golog
We present the agent programming language GTGolog, which integrates explicit agent programming in Golog with gametheoretic multi-agent planning in Markov games. It is a generalizat...
Alberto Finzi, Thomas Lukasiewicz
CDC
2008
IEEE
167views Control Systems» more  CDC 2008»
15 years 3 months ago
On the approximate domain optimization of deterministic and expected value criteria
— We define the concept of approximate domain optimizer for deterministic and expected value optimization criteria. Roughly speaking, a candidate optimizer is an approximate dom...
Andrea Lecchini-Visintini, John Lygeros, Jan M. Ma...
CORR
2010
Springer
127views Education» more  CORR 2010»
14 years 9 months ago
Mean field for Markov Decision Processes: from Discrete to Continuous Optimization
We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal...
Nicolas Gast, Bruno Gaujal, Jean-Yves Le Boudec
ICML
2006
IEEE
15 years 10 months ago
Quadratic programming relaxations for metric labeling and Markov random field MAP estimation
Quadratic program relaxations are proposed as an alternative to linear program relaxations and tree reweighted belief propagation for the metric labeling or MAP estimation problem...
Pradeep D. Ravikumar, John D. Lafferty
NIPS
2004
14 years 10 months ago
Learning first-order Markov models for control
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
Pieter Abbeel, Andrew Y. Ng