2566 search results - page 47 / 514 » Relating reinforcement learning performance to classificatio... |
ICML
2000
IEEE
16 years 19 days ago
2000
IEEE
This paper discusses theoretical and experimental aspects of gradient-based approaches to the direct optimization of policy performance in controlled ??? ?s. We introduce ??? ?, a...
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ABIALS
2008
Springer
15 years 1 months ago
2008
Springer
Abstract. In order to establish autonomous behavior for technical systems, the well known trade-off between reactive control and deliberative planning has to be considered. Within ...
IJON
2006
14 years 11 months ago
2006
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
ICML
1998
IEEE
16 years 19 days ago
1998
IEEE
Three factors are related in analyses of performance curves such as learning curves: the amount of training, the learning algorithm, and performance. Often we want to know whether...
GECCO
2005
Springer
15 years 5 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...