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ACL
1994
13 years 11 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
ATAL
2010
Springer
13 years 11 months ago
Asynchronous algorithms for approximate distributed constraint optimization with quality bounds
Distributed Constraint Optimization (DCOP) is a popular framework for cooperative multi-agent decision making. DCOP is NPhard, so an important line of work focuses on developing f...
Christopher Kiekintveld, Zhengyu Yin, Atul Kumar, ...
CCGRID
2010
IEEE
13 years 11 months ago
Elastic Site: Using Clouds to Elastically Extend Site Resources
Infrastructure-as-a-Service (IaaS) cloud computing offers new possibilities to scientific communities. One of the most significant is the ability to elastically provision and relin...
Paul Marshall, Kate Keahey, Timothy Freeman
ICFP
2010
ACM
13 years 11 months ago
Instance chains: type class programming without overlapping instances
Type classes have found a wide variety of uses in Haskell programs, from simple overloading of operators (such as equality or ordering) to complex invariants used to implement typ...
J. Garrett Morris, Mark P. Jones
ICML
2010
IEEE
13 years 11 months ago
Inverse Optimal Control with Linearly-Solvable MDPs
We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
Dvijotham Krishnamurthy, Emanuel Todorov