Weichao Mao

Artificial Intelligence · 2021

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 — 14 citations into it
• Management Science and Operations Research — 11 citations into it
• Reinforcement Learning — 8 citations into it

Whom Weichao Mao trusts overall

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

1. Peter Auer
2. Ian Osband
3. Aurélien Garivier
4. Thomas Jaksch
5. Zihan Zhang
6. Wang Chi Cheung
7. Yonatan Gur
8. Chi Jin
9. Omar Darwiche Domingues
10. Benjamin Van Roy

Who trusts Weichao Mao overall

1. Wenhao Li

Papers from Weichao Mao's perspective

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

1. Near-optimal Regret Bounds for Reinforcement Learning
2. Reinforcement Learning: An Introduction
3. ImageNet classification with deep convolutional neural networks
4. The Nonstochastic Multiarmed Bandit Problem
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Asynchronous Methods for Deep Reinforcement Learning
8. Markov Decision Processes: Discrete Stochastic Dynamic Programming
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Markov Games as a Framework for Multi-Agent Reinforcement Learning

Their papers

• Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs (2021) — 49 citations