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ICML
2004
IEEE
15 years 10 months ago
Using relative novelty to identify useful temporal abstractions in reinforcement learning
lative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning ?Ozg?ur S?im?sek ozgur@cs.umass.edu Andrew G. Barto barto@cs.umass.edu Department of Computer Scie...
Özgür Simsek, Andrew G. Barto
FOCS
2005
IEEE
15 years 3 months ago
Approximation Algorithms for Scheduling on Multiple Machines
V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Pa...
ITP
2010
172views Mathematics» more  ITP 2010»
14 years 8 months ago
Automated Machine-Checked Hybrid System Safety Proofs
mentation of the Abstraction Method In Coq Eelis van der Weegen Institute for Computing and Information Sciences Raboud University Nijmegen This technical report documents our deve...
Herman Geuvers, Adam Koprowski, Dan Synek, Eelis v...
ESCIENCE
2007
IEEE
15 years 1 months ago
Formal Modeling and Analysis of Scientific Workflows Using Hierarchical State Machines
Scientific workflows have recently emerged as a new paradigm for representing and managing complex distributed scientific computations and data analysis, and have enabled and acce...
Ping Yang, Zijiang Yang, Shiyong Lu
ASM
2000
ASM
15 years 2 months ago
Modeling the Dynamics of UML State Machines
We define the dynamic semantics of UML State Machines which integrate statecharts with the UML object model. The use of ASMs allows us (a) to rigorously model the event driven run...
Egon Börger, Alessandra Cavarra, Elvinia Ricc...