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» A splitting method for stochastic programs
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AAAI
2000
13 years 8 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
COCOON
2007
Springer
14 years 1 months ago
Improved Throughput Bounds for Interference-Aware Routing in Wireless Networks
We propose new algorithms and improved bounds for interference-aware routing in wireless networks. First, we prove that n arbitrarily matched source-destinations pairs with average...
Chiranjeeb Buragohain, Subhash Suri, Csaba D. T&oa...
NIPS
1996
13 years 8 months ago
Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems
In cellular telephone systems, an important problem is to dynamically allocate the communication resource channels so as to maximize service in a stochastic caller environment. Th...
Satinder P. Singh, Dimitri P. Bertsekas
ATAL
2007
Springer
14 years 1 months ago
A Q-decomposition and bounded RTDP approach to resource allocation
This paper contributes to solve effectively stochastic resource allocation problems known to be NP-Complete. To address this complex resource management problem, a Qdecomposition...
Pierrick Plamondon, Brahim Chaib-draa, Abder Rezak...
IROS
2006
IEEE
168views Robotics» more  IROS 2006»
14 years 1 months ago
Scanning the Environment with Two Independent Cameras - Biologically Motivated Approach
— In this paper we present a novel method for visual scanning and target tracking by means of independent pan-tilt cameras which mimic the chameleon visual system. We present a s...
Ofir Avni, Francesco Borrelli, Gadi Katzir, Ehud R...