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Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning

Ohnishi, S; Uchibe, E; Yamaguchi, Y; Nakanishi, K; Yasui, Y; Ishii, S

Uchibe, E (reprint author), ATR Computat Neurosci Labs, Kyoto, Japan.

FRONTIERS IN NEUROROBOTICS, 2019; 13 ():

Abstract

A deep Q network (DQN) (Mnih et al., 2013) is an extension of Q learning, which is a typical deep reinforcement learning method. In DQN, a Q function ......

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