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» Negotiation decision functions for autonomous agents
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ATAL
2010
Springer
13 years 8 months ago
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
W. Bradley Knox, Peter Stone
DAGSTUHL
2007
13 years 9 months ago
07431 Executive Summary - Computational Issues in Social Choice
Computational social choice is an interdisciplinary eld of study at the interface of social choice theory and computer science, with knowledge owing in either direction. On the o...
Ulle Endriss, Jérôme Lang, Francesca ...
ATAL
2003
Springer
14 years 20 days ago
Self-Organisation: Paradigms and Applications
Abstract. A self-organising system functions without central control, and through contextual local interactions. Components achieve a simple task individually, but a complex collec...
Giovanna Di Marzo Serugendo, Noria Foukia, Salima ...
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
14 years 29 days ago
Evolving cooperative strategies for UAV teams
We present a Genetic Programming approach to evolve cooperative controllers for teams of UAVs. Our focus is a collaborative search mission in an uncertain and/or hostile environme...
Marc D. Richards, L. Darrell Whitley, J. Ross Beve...
HCI
2007
13 years 8 months ago
Context-Aware Information Agents for the Automotive Domain Using Bayesian Networks
To reduce the workload of the driver due to the increasing amount of information and functions, intelligent agents represent a promising possibility to filter the immense data sets...
Markus Ablaßmeier, Tony Poitschke, Stefan Re...