847 search results - page 125 / 170 » Learning Action Selection Network of Intelligent Agent |
127
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AAAI
2011
14 years 1 months ago
2011
This paper addresses the task of trajectory cost prediction, a new learning task for trajectories. The goal of this task is to predict the cost for an arbitrary (possibly unknown)...
AAAI
2008
15 years 4 months ago
2008
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
123
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AAAI
2007
15 years 4 months ago
2007
Graphical games capture some of the key aspects relevant to the study and design of multi-agent systems. It is often of interest to find the conditions under which a game is stab...
106
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ICANN
2009
Springer
15 years 8 months ago
2009
Springer
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
CEC
2009
IEEE
15 years 8 months ago
2009
IEEE
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...