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» Using Learning in a Control Agent
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JFR
2006
108views more  JFR 2006»
13 years 8 months ago
Learning in a hierarchical control system: 4D/RCS in the DARPA LAGR program
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
James S. Albus, Roger Bostelman, Tommy Chang, Tsai...
ATAL
2009
Springer
14 years 2 months ago
Learning of coordination: exploiting sparse interactions in multiagent systems
Creating coordinated multiagent policies in environments with uncertainty is a challenging problem, which can be greatly simplified if the coordination needs are known to be limi...
Francisco S. Melo, Manuela M. Veloso
AIED
2007
Springer
14 years 2 months ago
Tutorial Dialogue as Adaptive Collaborative Learning Support
In this paper we investigate the role of reflection in simulation based learning by manipulating two independent factors that each separately lead to significant learning effects, ...
Rohit Kumar, Carolyn Penstein Rosé, Yi-Chia...
AAMAS
2005
Springer
13 years 7 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
AUSAI
2004
Springer
14 years 1 months ago
Domain-Adaptive Conversational Agent with Two-Stage Dialogue Management
The conversational agent understands and provides users with proper information based on natural language. Conventional agents based on pattern matching have much restriction to ma...
Jin-Hyuk Hong, Sung-Bae Cho