Abstract- In this paper, we propose a new hierarchical pulse neural network and its reinforcement learning algo- rithm with network extension.

This network learns relations between input pulse sequences and the desired outputs by updating connection weights and by adding neurons dynamically. We carried ...

In this paper, we propose a new hierarchical pulse neural network and its reinforcement learning algorithm with network extension. The proposed pulse neural ...

A new hierarchical pulse neural network and its reinforcement learning algorithm with network extension that learns relations between input pulse sequences ...

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Reinforcement learning algorithm with network extension for pulse neural network · Abstract · Authors · BibTeX · References · Bibliographies · Reviews · Related ...

Reinforcement learning algorithm with network extension for pulse neural network Trans Institute Electrical Engineers Of Japan. 121. See more from authors ...

This paper considers learning by a pulse neural network and proposes a new reinforcement learning algorithm focusing on the ability of pulse neuron elements ...

Koichiro Takita, Masafumi Hagiwara: A pulse neural network reinforcement learning algorithm for partially observable Markov decision processes.

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