847 search results - page 104 / 170 » Learning Action Selection Network of Intelligent Agent |
144
Voted
AAAI
1998
15 years 4 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
111
Voted
AAAI
2010
15 years 5 months ago
2010
We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
173
Voted
AAAI
2010
15 years 5 months ago
2010
We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produce...
170
Voted
GLOBECOM
2008
IEEE
15 years 3 months ago
2008
IEEE
Traditional hop-by-hop dynamic routing makes inefficient use of network resources as it forwards packets along already congested shortest paths while uncongested longer paths may b...
154
Voted
AOSE
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Although much effort has been spent on suggesting and implementing new architectures of Multi-Agent Systems (MAS), the evaluation and comparison of these has often been d...