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203
Voted
NCI
2004
185views Neural Networks» more  NCI 2004»
15 years 8 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Bram Bakker, Jürgen Schmidhuber
191
Voted
WISES
2003
15 years 8 months ago
Automatic Recovery of the TTP/A Sensor/Actuator Network
Abstract — Since sensor/actuator networks are to be used in error-prone environments, it is required that media access protocols for such networks are tolerant to failures. Field...
Wilfried Steiner, Wilfried Elmenreich
WSC
1994
15 years 8 months ago
Inside simulation software: how it works and why it matters
ABSTRACT This paper provides beginning and intermediate simulation practitioners and interested simulation consumers with a grounding in how discrete-event simulation software work...
Thomas J. Schriber, Daniel T. Brunner
EPEW
2010
Springer
15 years 7 months ago
Accurate Performance Estimation for Stochastic Marked Graphs by Bottleneck Regrowing
Abstract. The adequate system performance is usually a critical requirement to be checked during the verification phase of a system. Thus, accurately measuring the performance of c...
Ricardo J. Rodríguez, Jorge Júlvez
182
Voted
ENTCS
2008
99views more  ENTCS 2008»
15 years 7 months ago
A Categorical Model of the Fusion Calculus
We provide a categorical presentation of the Fusion calculus. Working in a suitable category of presheaves, we describe the syntax as initial algebra of a signature endofunctor, a...
Marino Miculan