Zeyu Jia
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it; #28,921 of 35,345 by trust here, #26,682 by citations
- Reinforcement Learning — 27 citations into it
- Management Science and Operations Research — 18 citations into it; #9,741 of 11,946 by trust here, #7,638 by citations
Whom Zeyu Jia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian Osband
- Yasin Abbasi-Yadkori
- Malcolm J. A. Strens
- Richard S. Sutton
- Dimitri P. Bertsekas
- David Freedman
- Sham M. Kakade
- Andrew Barto
- Lin F. Yang
- Csaba Szepesvari
Who trusts Zeyu Jia overall
Papers from Zeyu Jia's perspective
Ordered by how strongly the researchers Zeyu Jia trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Human-level control through deep reinforcement learning
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Near-optimal Regret Bounds for Reinforcement Learning
- ImageNet: A large-scale hierarchical image database
- Asynchronous Methods for Deep Reinforcement Learning
Their papers
- Model-Based Reinforcement Learning with Value-Targeted Regression (2020) — 329 citations