847 search results - page 6 / 170 » Learning Action Selection Network of Intelligent Agent |
ECAL
2007
Springer
14 years 1 months ago
2007
Springer
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
AAMAS
2002
Springer
13 years 7 months ago
2002
Springer
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
IAT
2003
IEEE
14 years 21 days ago
2003
IEEE
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
AAAI
2008
13 years 9 months ago
2008
The aim of General Game Playing (GGP) is to create intelligent agents that automatically learn how to play many different games at an expert level without any human intervention. ...
AAAI
2007
13 years 9 months ago
2007
We consider a resource selection game with incomplete information about the resource-cost functions. All the players know is the set of players, an upper bound on the possible cos...