Max Simchowitz

Artificial Intelligence · with Jin · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #29,799 of 35,345 by trust here, #26,682 by citations
• Reinforcement Learning — 14 citations into it
• Management Science and Operations Research — 9 citations into it; #10,140 of 11,946 by trust here, #7,638 by citations
• Statistical Learning Theory — 5 citations into it

Whom Max Simchowitz trusts overall

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

1. Sham M. Kakade
2. R´emi Munos
3. Alekh Agarwal
4. Csaba Szepesvari
5. Richard S. Sutton
6. Ronen I. Brafman
7. Jinglin Chen
8. Andrea Zanette

Who trusts Max Simchowitz overall

1. Yu Bai

Papers from Max Simchowitz's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Near-Optimal Reinforcement Learning in Polynomial Time
6. Reinforcement Learning: An Introduction
7. Minimax Regret Bounds for Reinforcement Learning
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Asynchronous Methods for Deep Reinforcement Learning

Their papers

• Reward-Free Exploration for Reinforcement Learning (2020) — 237 citations