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AGENTS
2001
Springer
13 years 12 months ago
Using background knowledge to speed reinforcement learning in physical agents
This paper describes Icarus, an agent architecture that embeds a hierarchical reinforcement learning algorithm within a language for specifying agent behavior. An Icarus program e...
Daniel G. Shapiro, Pat Langley, Ross D. Shachter
JMM2
2006
167views more  JMM2 2006»
13 years 7 months ago
Computer Vision Methods for Improved Mobile Robot State Estimation in Challenging Terrains
External perception based on vision plays a critical role in developing improved and robust localization algorithms, as well as gaining important information about the vehicle and ...
Annalisa Milella, Giulio Reina, Roland Siegwart
ICAISC
2004
Springer
14 years 22 days ago
Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
Balazs Feil, János Abonyi, Peter Pach, Sand...
FASE
2008
Springer
13 years 9 months ago
Regular Inference for State Machines Using Domains with Equality Tests
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
Therese Berg, Bengt Jonsson, Harald Raffelt
ICDCS
2007
IEEE
14 years 1 months ago
Exploiting Symbolic Techniques in Automated Synthesis of Distributed Programs with Large State Space
Automated formal analysis methods such as program verification and synthesis algorithms often suffer from time complexity of their decision procedures and also high space complex...
Borzoo Bonakdarpour, Sandeep S. Kulkarni