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AAAI
2010
15 years 4 months ago
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
AI
2005
Springer
15 years 9 months ago
ARES 2: A Tool for Evaluating Cooperative and Competitive Multi-agent Systems
The Agent Rescue Emergency Simulator (ARES) system provides a simplified rescue scenario similar to Robocup Rescue for use in the educational or research fields when evaluating m...
Jörg Denzinger, Jordan Kidney
133
Voted
IJNSEC
2007
144views more  IJNSEC 2007»
15 years 3 months ago
IPLess Stochastic Anonymous Routing Algorithm Using Multi-Agent Systems
The ability of communicating with a selected party anonymously is an important aspect of network security. Communicating anonymously means that no adversary can discern who is com...
Magdy Saeb, Meer Hamza, Ahmed El-Shikh
145
Voted
JAIR
2000
131views more  JAIR 2000»
15 years 3 months ago
An Application of Reinforcement Learning to Dialogue Strategy Selection in a Spoken Dialogue System for Email
This paper describes a novel method by which a spoken dialogue system can learn to choose an optimal dialogue strategy from its experience interacting with human users. The method...
Marilyn A. Walker
ICST
2008
IEEE
15 years 9 months ago
Designing and Building a Software Test Organization
–Abstract for conference - preliminary Model-Based Testing: Models for Test Cases Jan Tretmans, Embedded Systems Institute, Eindhoven : Systematic testing of software plays an im...
Bruce Benton