210 search results - page 6 / 42 » An analysis of reinforcement learning with function approxim... |
AMAI
2004
Springer
15 years 2 months ago
2004
Springer
ICINCO
2008
14 years 11 months ago
2008
104
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CORR
2012
Springer
13 years 5 months ago
2012
Springer
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, lar...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
IAT
2003
IEEE
15 years 2 months 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 ...