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ECML
2003
Springer
15 years 5 months ago
Self-evaluated Learning Agent in Multiple State Games
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
Koichi Moriyama, Masayuki Numao
AAMAS
2007
Springer
14 years 12 months ago
Local strategy learning in networked multi-agent team formation
Abstract. Networked multi-agent systems are comprised of many autonomous yet interdependent agents situated in a virtual social network. Two examples of such systems are supply cha...
Blazej Bulka, Matthew E. Gaston, Marie desJardins
EUROPAR
2003
Springer
15 years 5 months ago
Support for Personal and Service Mobility in Ubiquitous Computing Environments
This paper describes an agent-based architecture that extends personal mobility to ubiquitous environment. A software agent, running on a portable device, leverages the existing se...
Khalil El-Khatib, N. Hadibi, Gregor von Bochmann
NIPS
1993
15 years 1 months ago
Robust Reinforcement Learning in Motion Planning
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...
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CEC
2009
IEEE
15 years 6 months ago
Lamarckian neuroevolution for visual control in the Quake II environment
Abstract— A combination of backpropagation and neuroevolution is used to train a neural network visual controller for agents in the Quake II environment. The agents must learn to...
Matt Parker, Bobby D. Bryant