847 search results - page 15 / 170 » Learning Action Selection Network of Intelligent Agent |
112
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SARA
2007
Springer
15 years 5 months ago
2007
Springer
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
102
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ATAL
2007
Springer
15 years 5 months ago
2007
Springer
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
ATAL
2005
Springer
15 years 5 months ago
2005
Springer
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...
ATAL
2006
Springer
15 years 3 months ago
2006
Springer
In this paper, we present an architecture for software agents that enables them to learn vocabulary through the observation of each other bodies and actions. Besides sensors, effe...
130
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ATAL
2007
Springer
15 years 3 months ago
2007
Springer
Models of agent-environment interaction that use predictive state representations (PSRs) have mainly focused on the case of discrete observations and actions. The theory of discre...