340 search results - page 33 / 68 » Kernelized value function approximation for reinforcement le... |
118
Voted
ML
2002
ACM
15 years 2 months ago
2002
ACM
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
112
Voted
P2P
2006
IEEE
15 years 8 months ago
2006
IEEE
The idea of building query-oriented routing indices has changed the way of improving routing efficiency from the basis as it can learn the content distribution during the query r...
ECML
2004
Springer
15 years 8 months ago
2004
Springer
Reinforcement learning (RL) algorithms attempt to assign the credit for rewards to the actions that contributed to the reward. Thus far, credit assignment has been done in one of t...
152
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ECML
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
149
Voted
CORR
2012
Springer
13 years 10 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...