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» Learning Initial Trust Among Interacting Agents
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ATAL
2010
Springer
13 years 8 months ago
Self-organization for coordinating decentralized reinforcement learning
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
Chongjie Zhang, Victor R. Lesser, Sherief Abdallah
ATAL
2006
Springer
13 years 11 months ago
Using multiagent teams to improve the training of incident commanders
The DEFACTO system is a multiagent based tool for training incident commanders for large scale disasters. In this paper, we highlight some of the lessons that we have learned from...
Nathan Schurr, Pratik Patil, Frederic H. Pighin, M...
DAGM
2003
Springer
14 years 23 days ago
Learning Human-Like Opponent Behavior for Interactive Computer Games
Compared to their ancestors in the early 1970s, present day computer games are of incredible complexity and show magnificent graphical performance. However, in programming intelli...
Christian Bauckhage, Christian Thurau, Gerhard Sag...
CEC
2008
IEEE
14 years 2 months ago
Social learning in Population-based Adaptive Systems
— The subject of the present investigation is Population-based Adaptive Systems (PAS), as implemented in the NEW TIES platform. In many existing PASs two adaptation mechanisms ar...
Evert Haasdijk, Paul Vogt, A. E. Eiben
ATAL
2004
Springer
14 years 28 days ago
Learning User Preferences for Wireless Services Provisioning
The problem of interest is how to dynamically allocate wireless access services in a competitive market which implements a take-it-or-leave-it allocation mechanism. In this paper ...
George Lee, Steven Bauer, Peyman Faratin, John Wro...