813 search results - page 109 / 163 » Ensemble Algorithms in Reinforcement Learning |
153
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
148
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CIS
2005
Springer
15 years 10 months ago
2005
Springer
Recently, actor-critic methods have drawn much interests in the area of reinforcement learning, and several algorithms have been studied along the line of the actor-critic strategy...
125
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ICML
2002
IEEE
16 years 5 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
135
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AAAI
2010
15 years 5 months ago
2010
Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
164
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NIPS
2008
15 years 5 months ago
2008
Actor-critic algorithms for reinforcement learning are achieving renewed popularity due to their good convergence properties in situations where other approaches often fail (e.g.,...