Eyal Even-Dar

Reinforcement Learning · 2002–2007

A researcher in the Science corpus: 6 papers; trusts 22 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 30 citations into it; #591 of 2,242 by trust here, #1,280 by citations
• Artificial Intelligence — 17 citations into it; #3,820 of 35,345 by trust here, #9,641 by citations
• Statistical Learning Theory — 8 citations into it
• Management Science and Operations Research — 6 citations into it; #610 of 11,946 by trust here, #1,411 by citations
• Computer Networks and Communications — 5 citations into it

Whom Eyal Even-Dar trusts overall

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

1. Andrew Barto
2. Nicolò Cesa-Bianchi
3. Ben J. A. Kröse
4. Michael Kearns
5. T. L. Lai Andherbertrobbins
6. Satinder Singh
7. Peter Auer
8. Martin L. Puterman
9. Richard S. Sutton
10. John N. Tsitsiklis

Who trusts Eyal Even-Dar overall

1. Csaba Szepesvari
2. R´emi Munos
3. Mohammad Gheshlaghi Azar
4. Raphaël Féraud
5. Lihong Li
6. David Abel
7. Aleksandrs Slivkins
8. Kevin G. Jamieson
9. Michael L. Littman
10. Tor Lattimore

Papers from Eyal Even-Dar's perspective

Ordered by how strongly the researchers Eyal Even-Dar trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Reinforcement Learning: An Introduction
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Some aspects of the sequential design of experiments
8. Near-Optimal Reinforcement Learning in Polynomial Time
9. ImageNet: A large-scale hierarchical image database
10. Asymptotically efficient adaptive allocation rules

Their papers

• Learning Rates for Q-learning (2004) — 554 citations
• PAC Bounds for Multi-armed Bandit and Markov Decision Processes (2002) — 462 citations
• Regret to the best vs. regret to the average (2007) — 38 citations
• Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems (2006) — 815 citations
• Reinforcement Learning in POMDPs Without Resets (2005) — 53 citations
• Approximate Equivalence of Markov Decision Processes (2003) — 43 citations