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PKDD
2009
Springer
169views Data Mining» more  PKDD 2009»
14 years 3 months ago
Hybrid Least-Squares Algorithms for Approximate Policy Evaluation
The goal of approximate policy evaluation is to “best” represent a target value function according to a specific criterion. Temporal difference methods and Bellman residual m...
Jeffrey Johns, Marek Petrik, Sridhar Mahadevan
ATAL
2004
Springer
14 years 2 months ago
Communication for Improving Policy Computation in Distributed POMDPs
Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a popular approach for modeling multiagent teamwork where a group of agents work together to joi...
Ranjit Nair, Milind Tambe, Maayan Roth, Makoto Yok...
POLICY
2004
Springer
14 years 2 months ago
A Policy Driven Approach to Email Services
The primary original design goal for email was to provide best-effort message delivery. Unfortunately, as the ever increasing uproar over SPAM demonstrates, the existing email inf...
Saket Kaushik, Paul Ammann, Duminda Wijesekera, Wi...
ISCC
2000
IEEE
104views Communications» more  ISCC 2000»
14 years 1 months ago
Dynamic Routing and Wavelength Assignment Using First Policy Iteration
With standard assumptions the routing and wavelength assignment problem (RWA) can be viewed as a Markov Decision Process (MDP). The problem, however, defies an exact solution bec...
Esa Hyytiä, Jorma T. Virtamo
SOUPS
2010
ACM
13 years 9 months ago
The impact of social navigation on privacy policy configuration
Social navigation is a promising approach to help users make better privacy and security decisions using community knowledge and expertise. Social navigation has recently been app...
Andrew Besmer, Jason Watson, Heather Richter Lipfo...