Machine Learning

Faster Deep Q-learning using Neural Episodic Control

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  • arXiv
    5 pts

    Faster Deep Q-learning using Neural Episodic Control

    The Research on deep reinforcement learning to estimate Q-value by deep learning has been active in recent years. In deep reinforcement learning, it is important to efficiently learn the experiences that a agent has collected by exploring the environment. In this research, we propose NEC2DQN that improves learning speed of a algorithm with poor sample efficiency by using a algorithm with good one at the beginning of learning, and we demonstrate it in experiments.

    Faster Deep Q-learning using Neural Episodic Control
    by Daichi Nishio, Satoshi Yamane
    https://arxiv.org/pdf/1801.01968v2.pdf

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