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EWRL
2008
15 years 4 months ago
Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
Kirill Dyagilev, Shie Mannor, Nahum Shimkin
CPHYSICS
2007
96views more  CPHYSICS 2007»
15 years 2 months ago
Simple models for biomembrane structure and dynamics
Simulation of biomembranes over length and time scales relevant to cellular biology is not currently feasible with molecular dynamics including full atomic detail. Barring an unfo...
Frank L. H. Brown
JAIR
2011
114views more  JAIR 2011»
14 years 5 months ago
Properties of Bethe Free Energies and Message Passing in Gaussian Models
We address the problem of computing approximate marginals in Gaussian probabilistic models by using mean field and fractional Bethe approximations. We define the Gaussian fracti...
Botond Cseke, Tom Heskes
IFM
2010
Springer
147views Formal Methods» more  IFM 2010»
15 years 23 days ago
Symbolic Model-Checking of Optimistic Replication Algorithms
Abstract. The Operational Transformation (OT) approach, used in many collaborative editors, allows a group of users to concurrently update replicas of a shared object and exchange ...
Hanifa Boucheneb, Abdessamad Imine, Manal Najem
DAC
2005
ACM
16 years 3 months ago
Simulation based deadlock analysis for system level designs
In the design of highly complex, heterogeneous, and concurrent systems, deadlock detection and resolution remains an important issue. In this paper, we systematically analyze the ...
Xi Chen, Abhijit Davare, Harry Hsieh, Alberto L. S...