Sciweavers

178 search results - page 3 / 36
» Efficient Approximation of Optimal Control for Markov Games
Sort
View
JMLR
2010
129views more  JMLR 2010»
13 years 16 days ago
Approximation of hidden Markov models by mixtures of experts with application to particle filtering
Selecting conveniently the proposal kernel and the adjustment multiplier weights of the auxiliary particle filter may increase significantly the accuracy and computational efficie...
Jimmy Olsson, Jonas Ströjby
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 23 days ago
Aggregation-based model reduction of a Hidden Markov Model
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
HYBRID
2007
Springer
13 years 12 months ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
SIAMCO
2002
121views more  SIAMCO 2002»
13 years 5 months ago
Consistent Approximations and Approximate Functions and Gradients in Optimal Control
As shown in [7], optimal control problems with either ODE or PDE dynamics can be solved efficiently using a setting of consistent approximations obtained by numerical discretizati...
Olivier Pironneau, Elijah Polak
TSMC
2008
146views more  TSMC 2008»
13 years 5 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé