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ICML
2004
IEEE
14 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
CEC
2010
IEEE
13 years 11 months ago
SBArt4 - Breeding abstract animations in realtime
Breeding Abstract Animations in Realtime Tatsuo Unemi SBART was developed in early 1990's as one of the derivatives from Artificial Evolution by Karl Sims. It has a functional...
Tatsuo Unemi
ICML
1999
IEEE
14 years 10 months ago
Abstracting from Robot Sensor Data using Hidden Markov Models
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
Laura Firoiu, Paul R. Cohen
LICS
1994
IEEE
14 years 1 months ago
A Fully Abstract Semantics for Concurrent Graph Reduction
abstract semantics for concurrent graph reduction ALAN JEFFREY This paper presents a fully abstract semantics for a variant of the untyped -calculus with recursive declarations. We...
Alan Jeffrey
ENTCS
2007
89views more  ENTCS 2007»
13 years 9 months ago
Quantum Programs With Classical Output Streams: (Extended Abstract)
d abstract) Dominique Unruh 1 Institut f¨ur Algorithmen und Kognitive Systeme, Universit¨at Karlsruhe Am Fasanengarten 5, 76131 Karlsruhe, Germany We show how to model the seman...
Dominique Unruh