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» Using Learning in a Control Agent
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ATAL
2005
Springer
15 years 7 months ago
Multi-agent reward analysis for learning in noisy domains
In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...
Adrian K. Agogino, Kagan Tumer
COST
2009
Springer
185views Multimedia» more  COST 2009»
14 years 12 months ago
How an Agent Can Detect and Use Synchrony Parameter of Its Own Interaction with a Human?
Synchrony is claimed by psychology as a crucial parameter of any social interaction: to give to human a feeling of natural interaction, a feeling of agency [17], an agent must be a...
Ken Prepin, Philippe Gaussier
SBIA
2000
Springer
15 years 5 months ago
Applying the ARTIS Agent Architecture to Mobile Robot Control
Abstract. The agent/multi-agent system paradigm is an important field of Artificial Intelligence. The use of this paradigm in real-world problems is one of the main lines of intere...
José Soler, Vicente Julián, Carlos C...
106
Voted
ICMLA
2007
15 years 3 months ago
Learning complex problem solving expertise from failures
Our research addresses the issue of developing knowledge-based agents that capture and use the problem solving knowledge of subject matter experts from diverse application domains...
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu
CP
2000
Springer
15 years 6 months ago
Constraint-Based Agents: The ABC's of CBA's
The Constraint-Based Agent (CBA) framework is a set of tools for designing, simulating, building, verifying, optimizing, learning and debugging controllers for agents embedded in a...
Alan K. Mackworth