582 search results - page 65 / 117 » Reinforcement learning with Gaussian processes |
134
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ECAI
2006
Springer
15 years 7 months ago
2006
Springer
Emotions play a very important role in human behaviour and social interaction. In this paper we present a control architecture which uses emotions in the behaviour selection proces...
138
Voted
AE
2003
Springer
15 years 8 months ago
2003
Springer
The aim of this research is to develop an adaptive agent based model of auction scenarios commonly used in auction theory to help understand how competitors in auctions reach equil...
147
Voted
IJCNN
2008
IEEE
15 years 10 months ago
2008
IEEE
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
134
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SMC
2007
IEEE
15 years 10 months ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
112
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ATAL
2008
Springer
15 years 5 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...