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CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 8 months ago
Mean-Variance Optimization in Markov Decision Processes
We consider finite horizon Markov decision processes under performance measures that involve both the mean and the variance of the cumulative reward. We show that either randomiz...
Shie Mannor, John N. Tsitsiklis
111
Voted
NIPS
2003
15 years 3 months ago
Robustness in Markov Decision Problems with Uncertain Transition Matrices
Optimal solutions to Markov Decision Problems (MDPs) are very sensitive with respect to the state transition probabilities. In many practical problems, the estimation of those pro...
Arnab Nilim, Laurent El Ghaoui
99
Voted
FLAIRS
2001
15 years 3 months ago
A Practical Markov Chain Monte Carlo Approach to Decision Problems
Decisionand optimizationproblemsinvolvinggraphsarise in manyareas of artificial intelligence, including probabilistic networks, robot navigation, and network design. Manysuch prob...
Timothy Huang, Yuriy Nevmyvaka
ECAI
2010
Springer
15 years 2 months ago
On Finding Compromise Solutions in Multiobjective Markov Decision Processes
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
Patrice Perny, Paul Weng
ATAL
2009
Springer
15 years 8 months ago
Solving multiagent assignment Markov decision processes
We consider the setting of multiple collaborative agents trying to complete a set of tasks as assigned by a centralized controller. We propose a scalable method called“Assignmen...
Scott Proper, Prasad Tadepalli