Learning to Learn: Hierarchical Meta-Critic Networks

Zhixiong Xu
Zhixiong Xu
Xiliang Chen
Xiliang Chen

IEEE ACCESS, pp. 57069-57077, 2019.

Cited by: 0|Views5
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Abstract:

In recent years, deep reinforcement learning methods have achieved impressive performance in many different fields, including playing games, robotics, and dialogue systems. However, there are still a lot of restrictions here, one of which is the demand for massive amounts of sampled data. In this paper, a hierarchical meta-learning method...More

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