Yichen Chen
Artificial Intelligence · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 60 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #6,249 of 35,345 by trust here, #14,181 by citations
- Reinforcement Learning — 33 citations into it; #601 of 2,242 by trust here, #1,455 by citations
- Management Science and Operations Research — 23 citations into it; #1,293 of 11,946 by trust here, #2,728 by citations
- Computer Networks and Communications — 13 citations into it; #5,694 of 9,886 by trust here, #7,140 by citations
- Mathematical Optimization — 13 citations into it
- Computational Mechanics — 11 citations into it
- Optimization & Training — 10 citations into it; #735 of 2,601 by trust here, #1,509 by citations
- Computational Theory and Mathematics — 8 citations into it
Whom Yichen Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mengdi Wang
- Dimitri P. Bertsekas
- Richard S. Sutton
- Martin L. Puterman
- Tor Lattimore
- Yinyu Ye
- Arkadi Nemirovski
- Boris Polyak
- Vivek Shripad Borkar
- John N. Tsitsiklis
Who trusts Yichen Chen overall
- Donghwan Lee
- Mengdi Wang
- Bo Dai
- Ziyang Tang
- Ofir Nachum
- Niao He
- A. Perera
- Lihong Li
- Kaiqing Zhang
- Lin F. Yang
Papers from Yichen Chen's perspective
Ordered by how strongly the researchers Yichen Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Reinforcement Learning: An Introduction
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Human-level control through deep reinforcement learning
Their papers
- Stochastic Primal-Dual Methods and Sample Complexity of Reinforcement Learning (2016) — 68 citations
- An online primal-dual method for discounted Markov decision processes (2016) — 25 citations
- Scalable Bilinear π Learning Using State and Action Features (2018) — 47 citations