Chengzhe Piao

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Reinforcement Learning — 5 citations into it

Whom Chengzhe Piao trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. J. Urgen Schmidhuber (in Artificial Intelligence)
2. Richard S. Sutton (in Reinforcement Learning)
3. Andrew Barto (in Reinforcement Learning)

Papers from Chengzhe Piao's perspective

Ordered by how strongly the researchers Chengzhe Piao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Asynchronous Methods for Deep Reinforcement Learning
3. Human-level control through deep reinforcement learning
4. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
5. Deep Learning
6. I and J
7. Deep learning in neural networks: An overview
8. and s
9. Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs
10. Drone Small Cells in the Clouds: Design, Deployment and Performance Analysis (Global Communications Conference)

Their papers

• Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach (2018) — 455 citations