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SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
14 years 3 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
ICASSP
2008
IEEE
14 years 3 months ago
Link throughput of multi-channel opportunistic access with limited sensing
—We aim to characterize the maximum link throughput of a multi-channel opportunistic communication system. The states of these channels evolve as independent and identically dist...
Keqin Liu, Qing Zhao
ICC
2008
IEEE
169views Communications» more  ICC 2008»
14 years 3 months ago
Optimality of Myopic Sensing in Multi-Channel Opportunistic Access
—We consider opportunistic communications over multiple channels where the state (“good” or “bad”) of each channel evolves as independent and identically distributed Mark...
Tara Javidi, Bhaskar Krishnamachari, Qing Zhao, Mi...
ATAL
2007
Springer
14 years 3 months ago
Letting loose a SPIDER on a network of POMDPs: generating quality guaranteed policies
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the signi...
Pradeep Varakantham, Janusz Marecki, Yuichi Yabu, ...
COMAD
2009
13 years 10 months ago
A Feasibility Study on Automating the Automotive Insurance Claims Processing
In this paper, we present a feasibility study in automating the insurance claims processing system related to automotive sector. In automobile insurance claims processing, usually...
Jayanta Basak, Desmond Lim