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ICML
2007
IEEE
16 years 7 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
ICML
1996
IEEE
16 years 7 months ago
Representing and Learning Quality-Improving Search Control Knowledge
Generating good, production-quality plans is an essential element in transforming planners from research tools into real-world applications, but one that has been frequently overl...
M. Alicia Pérez
PKC
2009
Springer
164views Cryptology» more  PKC 2009»
16 years 7 months ago
Asynchronous Multiparty Computation: Theory and Implementation
Abstract. We propose an asynchronous protocol for general multiparty computation with perfect security and communication complexity O(n2 |C|k) where n is the number of parties, |C|...
Ivan Damgård, Jesper Buus Nielsen, Martin Ge...
POPL
2006
ACM
16 years 7 months ago
Associating synchronization constraints with data in an object-oriented language
Concurrency-related bugs may happen when multiple threads access shared data and interleave in ways that do not correspond to any sequential execution. Their absence is not guaran...
Mandana Vaziri, Frank Tip, Julian Dolby
POPL
2002
ACM
16 years 7 months ago
Composing dataflow analyses and transformations
Dataflow analyses can have mutually beneficial interactions. Previous efforts to exploit these interactions have either (1) iteratively performed each individual analysis until no...
Sorin Lerner, David Grove, Craig Chambers