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» Markov Decision Processes with Arbitrary Reward Processes
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NIPS
2003
15 years 3 months ago
Approximate Policy Iteration with a Policy Language Bias
We study an approach to policy selection for large relational Markov Decision Processes (MDPs). We consider a variant of approximate policy iteration (API) that replaces the usual...
Alan Fern, Sung Wook Yoon, Robert Givan
UML
2001
Springer
15 years 6 months ago
UML Modelling and Performance Analysis of Mobile Software Architectures
Modern distributed software applications generally operate in complex and heterogeneous computing environments (like the World Wide Web). Different paradigms (client-server, mobili...
Vincenzo Grassi, Raffaela Mirandola
114
Voted
AIPS
2000
15 years 3 months ago
On-line Scheduling via Sampling
1 We consider the problem of scheduling an unknown sequence of tasks for a single server as the tasks arrive with the goal off maximizing the total weighted value of the tasks serv...
Hyeong Soo Chang, Robert Givan, Edwin K. P. Chong
98
Voted
ORL
2006
87views more  ORL 2006»
15 years 1 months ago
SPAR: stochastic programming with adversarial recourse
We consider a general adversarial stochastic optimization model. Our model involves the design of a system that an adversary may subsequently attempt to destroy or degrade. We int...
Matthew D. Bailey, Steven M. Shechter, Andrew J. S...
GLOBECOM
2006
IEEE
15 years 8 months ago
Content Delivery in Overlay Networks: a Stochastic Graph Processes Perspective
— We consider the problem of distributing a content of finite size to a group of users connected through an overlay network that is built by a peer-to-peer application. The goal...
Damiano Carra, Renato Lo Cigno, Ernst W. Biersack