451 search results - page 44 / 91 » Approximation algorithms for stochastic orienteering |
102
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NIPS
2007
15 years 1 months ago
2007
We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs. Actor-critic reinforcement learning m...
136
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ICANN
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
100
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CHARME
1997
Springer
15 years 4 months ago
1997
Springer
Formal verification techniques need to deal with the complexity of the systems rified. Most often, this problem is solved by taking an abstract model of the system and aiming at a...
104
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NIPS
1996
15 years 1 months ago
1996
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
99
Voted
CDC
2010
IEEE
14 years 7 months ago
2010
IEEE
We consider the problem of designing controllers for nonholonomic mobile robots converging to the source (minimum) of a field. In addition to the mobility constraints posed by the ...