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ECML
2006
Springer
13 years 11 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
AAAI
2004
13 years 8 months ago
Regrets Only! Online Stochastic Optimization under Time Constraints
This paper considers online stochastic optimization problems where time constraints severely limit the number of offline optimizations which can be performed at decision time and/...
Russell Bent, Pascal Van Hentenryck
MP
2010
116views more  MP 2010»
13 years 5 months ago
New techniques for cost sharing in combinatorial optimization games
Combinatorial optimization games form an important subclass of cooperative games. In recent years, increased attention has been given to the issue of finding good cost shares for...
Alberto Caprara, Adam N. Letchford
MOBICOM
2006
ACM
14 years 1 months ago
Routing algorithms for delay-insensitive and delay-sensitive applications in underwater sensor networks
Underwater sensor networks consist of sensors and vehicles deployed to perform collaborative monitoring tasks over a given region. Underwater sensor networks will find applicatio...
Dario Pompili, Tommaso Melodia, Ian F. Akyildiz
CORR
2010
Springer
178views Education» more  CORR 2010»
13 years 4 months ago
Adaptive Algorithms for Coverage Control and Space Partitioning in Mobile Robotic Networks
We consider deployment problems where a mobile robotic network must optimize its configuration in a distributed way in order to minimize a steady-state cost function that depends ...
Jerome Le Ny, George J. Pappas