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ECML
2006
Springer
15 years 4 months ago
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
Scott Proper, Prasad Tadepalli
83
Voted
JAIR
2006
92views more  JAIR 2006»
15 years 12 days ago
Dynamic Local Search for the Maximum Clique Problem
In this paper, we introduce DLS-MC, a new stochastic local search algorithm for the maximum clique problem. DLS-MC alternates between phases of iterative improvement, during which...
Wayne J. Pullan, Holger H. Hoos
107
Voted
TCOM
2010
133views more  TCOM 2010»
14 years 10 months ago
Transmission control in cognitive radio as a Markovian dynamic game: Structural result on randomized threshold policies
Abstract——This paper considers an uplink time division multiple access (TDMA) cognitive radio network where multiple cognitive radios (secondary users) attempt to access a spect...
J. Huang, V. Krishnamurthy
104
Voted
INFOCOM
2005
IEEE
15 years 6 months ago
Energy optimal control for time varying wireless networks
Abstract— We develop a dynamic control strategy for minimizing energy expenditure in a time varying wireless network with adaptive transmission rates. The algorithm operates with...
Michael J. Neely
118
Voted
ADHOC
2007
131views more  ADHOC 2007»
15 years 18 days ago
Perceptive admission control for wireless network quality of service
As wireless networks become more widely used, there is a growing need to support advanced services, such as multimedia streaming and voice over IP. Traditional approaches to guara...
Ian D. Chakeres, Elizabeth M. Belding-Royer, Josep...