This article demonstrates that feed- forward neural networks can be applied successfully to high-dimensional problems. The main difficulties of using ...
Nov 8, 2002 · This article demonstrates that feedforward neural networks can be applied successfully to high-dimensional problems. The main difficulties of ...
This article demonstrates that feed- forward neural networks can be applied successfully to high-dimensional problems. The main difficulties of using ...
This article demonstrates that feedforward neural networks can be applied successfully to high-dimensional problems. The main difficulties of using ...
Feedforward Neural Networks in Reinforcement Learning Applied to High-Dimensional Motor Control. Rémi Coulom. 2002, International Conference on Algorithmic ...
Bibliographic details on Feedforward Neural Networks in Reinforcement Learning Applied to High-Dimensional Motor Control.
This thesis is a study of practical methods to estimate value functions with feedforward neural networks in model-based reinforcement learning.
Oct 8, 2024 · This article demonstrates that feedforward neural networks can be applied successfully to high-dimensional problems. The main difficulties of ...
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Dec 16, 2003 · feedforward neural networks in reinforcement learning applied to motor control. In particular, a complex articulated swimmer with 12 inde ...
... Neural Networks, with Applications to Motor Control PhD ... Feedforward Neural Networks in Reinforcement Learning Applied to High-dimensional Motor Control