D. Hristu-Varsakelis

Reinforcement Learning · 2006–2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it
• Artificial Intelligence — 10 citations into it; #27,841 of 35,345 by trust here, #34,943 by citations

Whom D. Hristu-Varsakelis trusts overall

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

1. John N. Tsitsiklis
2. Longxin Lin
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Dimitri P. Bertsekas
6. Geoffrey E. Hinton
7. Prasad Tadepalli
8. Ilya Sutskever
9. Jimmy Ba
10. Karthik Narasimhan

Who trusts D. Hristu-Varsakelis overall

1. J. Xiong
2. A. Ozbayoglu
3. James Lam

Papers from D. Hristu-Varsakelis's perspective

Ordered by how strongly the researchers D. Hristu-Varsakelis trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Communication and control co-design for networked control systems (2006) — 333 citations
• Using deep Q-learning to understand the tax evasion behavior of risk-averse firms (2018) — 27 citations