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NIPS
2008
15 years 1 months ago
Biasing Approximate Dynamic Programming with a Lower Discount Factor
Most algorithms for solving Markov decision processes rely on a discount factor, which ensures their convergence. It is generally assumed that using an artificially low discount f...
Marek Petrik, Bruno Scherrer
AAAI
2004
15 years 1 months ago
Stochastic Local Search for POMDP Controllers
The search for finite-state controllers for partially observable Markov decision processes (POMDPs) is often based on approaches like gradient ascent, attractive because of their ...
Darius Braziunas, Craig Boutilier
ATAL
2008
Springer
15 years 1 months ago
Controlling deliberation in a Markov decision process-based agent
Meta-level control manages the allocation of limited resources to deliberative actions. This paper discusses efforts in adding meta-level control capabilities to a Markov Decision...
George Alexander, Anita Raja, David J. Musliner
INFOCOM
2011
IEEE
14 years 3 months ago
A dynamic relay selection scheme for mobile users in wireless relay networks
—Cooperative communication has attracted dramatic attention in the last few years due to its advantage in mitigating channel fading. Despite much effort that has been made in the...
Yifan Li, Ping Wang, Dusit Niyato, Weihua Zhuang
ICRA
2006
IEEE
86views Robotics» more  ICRA 2006»
15 years 5 months ago
The Statistical Dynamics of Programmed Self-assembly
Abstract— We describe how a graph grammar program for robotic self-assembly, together with measurements of kinetic rate data yield a Markov Process model of the dynamics of progr...
Nils Napp, Samuel Burden, Eric Klavins