Mengdi Wang

Reinforcement Learning · Conference on Learning for Dynamics & Control · 2014–2020

A researcher in the Science corpus: 15 papers; trusts 170 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Mengdi Wang trusts overall

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

  1. Dimitri P. Bertsekas
  2. Vivek Shripad Borkar
  3. Martin L. Puterman
  4. Anatoli B. Juditsky
  5. Arkadi Nemirovski
  6. Richard S. Sutton
  7. Yinyu Ye
  8. Paul Tseng
  9. Sham M. Kakade
  10. R´emi Munos

Who trusts Mengdi Wang overall

  1. Yichen Chen
  2. Bo Dai
  3. Lihong Li
  4. Ofir Nachum
  5. Zhuoran Yang
  6. Donghwan Lee
  7. Joan Bas-Serrano
  8. Kaiqing Zhang
  9. Niao He
  10. Alekh Agarwal

Papers from Mengdi Wang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Reinforcement Learning: An Introduction
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Human-level control through deep reinforcement learning

Their papers