Hyung-Jin Yoon

Computer Networks and Communications · with Hovakimyan · 2018

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 10 citations into it; #4,398 of 9,886 by trust here, #8,543 by citations
• Artificial Intelligence — 9 citations into it
• Reinforcement Learning — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Hyung-Jin Yoon trusts overall

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

1. Richard S. Sutton
2. Dimitri P. Bertsekas
3. Jing Wang
4. Leemon C. Baird III
5. Vivek Shripad Borkar
6. Harold J. Kushner
7. Yichen Chen
8. Nicola Elia
9. Bahman Gharesifard
10. Pascal Bianchi

Who trusts Hyung-Jin Yoon overall

1. Afshin Oroojlooyjadid
2. Yan Zhang
3. Kaiqing Zhang

Papers from Hyung-Jin Yoon's perspective

Ordered by how strongly the researchers Hyung-Jin Yoon trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Residual Algorithms: Reinforcement Learning with Function Approximation
3. The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
4. Stochastic Approximation and Recursive Algorithms and Applications
5. Neuro-Dynamic Programming
6. Fast gradient-descent methods for temporal-difference learning with linear function approximation
7. Nonlinear Programming
8. Parallel and distributed computation
9. Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces
10. ImageNet classification with deep convolutional neural networks

Their papers

• Primal-Dual Algorithm for Distributed Reinforcement Learning: Distributed GTD (2018) — 49 citations