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NIPS
2001
13 years 9 months ago
The Steering Approach for Multi-Criteria Reinforcement Learning
We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
Shie Mannor, Nahum Shimkin
ICC
2007
IEEE
192views Communications» more  ICC 2007»
14 years 2 months ago
Informed Dynamic Scheduling for Belief-Propagation Decoding of LDPC Codes
— Low-Density Parity-Check (LDPC) codes are usually decoded by running an iterative belief-propagation, or message-passing, algorithm over the factor graph of the code. The tradi...
Andres I. Vila Casado, Miguel Griot, Richard D. We...
MICCAI
2007
Springer
14 years 8 months ago
De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration
Abstract. Dynamic enhancement causes serious problems for registration of contrast enhanced breast MRI, due to variable uptakes of agent on different tissues or even same tissues i...
Yuanjie Zheng, Jingyi Yu, Chandra Kambhamettu, Sar...
EUROPAR
2009
Springer
14 years 2 months ago
Uniform Sampling for Directed P2P Networks
Selecting a random peer with uniform probability across a peer-to-peer (P2P) network is a fundamental function for unstructured search, data replication, and monitoring algorithms....
Cyrus P. Hall, Antonio Carzaniga
CDC
2008
IEEE
111views Control Systems» more  CDC 2008»
14 years 2 months ago
Computing correlated equilibria of polynomial games via adaptive discretization
— We construct a family of iterative discretization algorithms for computing sequences of finitely-supported correlated equilibria of n-player games with polynomial utility func...
Noah D. Stein, Asuman E. Ozdaglar, Pablo A. Parril...