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ICML
1994
IEEE
13 years 11 months ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
APLAS
2010
ACM
13 years 6 months ago
Type Inference for Sublinear Space Functional Programming
We consider programming language aspects of algorithms that operate on data too large to fit into memory. In previous work we have introduced IntML, a functional programming langu...
Ugo Dal Lago, Ulrich Schöpp
SIGSOFT
2003
ACM
14 years 8 months ago
Behaviour model elaboration using partial labelled transition systems
State machine based formalisms such as labelled transition systems (LTS) are generally assumed to be complete descriptions m behaviour at some level of abstraction: if a labelled ...
Sebastián Uchitel, Jeff Kramer, Jeff Magee
SAINT
2002
IEEE
14 years 11 days ago
Ubiquitous Commerce - Always On, Always Aware, Always Pro-active
The development of the infrastructure for ubiquitous computing is progressing rapidly, yet the applications that will be built on this new infrastructure remain largely ill define...
Anatole Gershman
CAV
2005
Springer
173views Hardware» more  CAV 2005»
14 years 1 months ago
Building Your Own Software Model Checker Using the Bogor Extensible Model Checking Framework
Model checking has proven to be an effective technology for verification and debugging in hardware and more recently in software domains. We believe that recent trends in both th...
Matthew B. Dwyer, John Hatcliff, Matthew Hoosier, ...