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ATAL
2010
Springer
14 years 10 hour ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
ATAL
2010
Springer
14 years 10 hour ago
Linear options
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
Jonathan Sorg, Satinder P. Singh
ATAL
2010
Springer
14 years 10 hour ago
Path disruption games
We propose Path Disruption Games (PDGs), which consider collaboration between agents attempting stop an adversary from travelling from a source node to a target node in a graph. P...
Yoram Bachrach, Ely Porat
ATAL
2010
Springer
13 years 11 months ago
A probabilistic model for trust and reputation
This paper concerns the problem of agent trust in an electronic market place. We maintain that agent trust involves making decisions under uncertainty and therefore the phenomenon...
George Vogiatzis, Ian MacGillivray, Maria Chli
ATAL
2010
Springer
14 years 10 hour ago
Adaptive expressiveness: virtual conversational agents that can align to their interaction partner
Speakers in dialogue tend to adapt to each other by starting to use similar lexical items, syntactic structures, or gestures. This behaviour, called alignment, may serve important...
Hendrik Buschmeier, Kirsten Bergmann, Stefan Kopp