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» How to Dynamically Merge Markov Decision Processes
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ATAL
2007
Springer
15 years 1 months ago
Interactive dynamic influence diagrams
This paper extends the framework of dynamic influence diagrams (DIDs) to the multi-agent setting. DIDs are computational representations of the Partially Observable Markov Decisio...
Kyle Polich, Piotr J. Gmytrasiewicz
CORR
2011
Springer
175views Education» more  CORR 2011»
14 years 4 months ago
Adaptive Channel Recommendation for Dynamic Spectrum Access
—We propose a dynamic spectrum access scheme where secondary users recommend “good” channels to each other and access accordingly. We formulate the problem as an average rewa...
Xu Chen, Jianwei Huang, Husheng Li
AI
2006
Springer
15 years 1 months ago
An Efficient Resource Allocation Approach in Real-Time Stochastic Environment
We are interested in contributing to solving effectively a particular type of real-time stochastic resource allocation problem. Firstly, one distinction is that certain tasks may c...
Pierrick Plamondon, Brahim Chaib-draa, Abder Rezak...
64
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HICSS
2002
IEEE
100views Biometrics» more  HICSS 2002»
15 years 2 months ago
A Dynamic Theory of Collaboration and Decision Making
The model presented in this paper incorporates various causal and feedback loops in the structure of the dynamic decision-making processes and performance in nonequity alliances. ...
Siegfried P. Gudergan, Gerhard P. Gudergan
ICML
2006
IEEE
15 years 3 months ago
Automatic basis function construction for approximate dynamic programming and reinforcement learning
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
Philipp W. Keller, Shie Mannor, Doina Precup