Q-Networks for Binary Vector Actions

4 Dec 2015 Naoto Yoshida

In this paper reinforcement learning with binary vector actions was investigated. We suggest an effective architecture of the neural networks for approximating an action-value function with binary vector actions... (read more)

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METHOD TYPE
Softmax
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