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» Feature Markov Decision Processes
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133
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ISMIS
2000
Springer
15 years 7 months ago
An Intelligent Lessons Learned Process
A learned lesson, in the context of a pre-defined organizational process, summarizes an experience that should be used to modify that process, under the conditions for which that l...
Rosina Weber, David W. Aha, Héctor Mu&ntild...
142
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ALDT
2009
Springer
142views Algorithms» more  ALDT 2009»
15 years 10 months ago
Finding Best k Policies
Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...
Peng Dai, Judy Goldsmith
112
Voted
SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
15 years 10 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
160
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IRI
2008
IEEE
15 years 10 months ago
Model check stochastic supply chains
—Supply chain [2], [6] is an important component of business operations. Understanding its stochastic behaviors is the key to risk analysis and performance evaluation in supply c...
Li Tan, Shenghan Xu
136
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WECWIS
2005
IEEE
141views ECommerce» more  WECWIS 2005»
15 years 9 months ago
An Adaptive Bilateral Negotiation Model for E-Commerce Settings
This paper studies adaptive bilateral negotiation between software agents in e-commerce environments. Specifically, we assume that the agents are self-interested, the environment...
Vidya Narayanan, Nicholas R. Jennings