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» One-Counter Markov Decision Processes
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91
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SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
15 years 7 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
129
Voted
IRI
2008
IEEE
15 years 7 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
WECWIS
2005
IEEE
141views ECommerce» more  WECWIS 2005»
15 years 6 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
128
Voted
ATAL
2004
Springer
15 years 6 months ago
Learning User Preferences for Wireless Services Provisioning
The problem of interest is how to dynamically allocate wireless access services in a competitive market which implements a take-it-or-leave-it allocation mechanism. In this paper ...
George Lee, Steven Bauer, Peyman Faratin, John Wro...
95
Voted
AIPS
2007
15 years 3 months ago
Discovering Relational Domain Features for Probabilistic Planning
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
Jia-Hong Wu, Robert Givan