Leonid Kuvayev

Reinforcement Learning · 1996

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 7 citations into it; #1,127 of 2,242 by trust here, #2,063 by citations

Whom Leonid Kuvayev trusts overall

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

1. Richard S. Sutton
2. Longxin Lin
3. Thomas G. Dietterich
4. John N. Tsitsiklis
5. Justin A. Boyan
6. Gavin Adrian Rummery
7. Benjamin Van Roy
8. Leemon C. Baird III
9. Andrew W. Moore
10. Ben J. A. Kröse

Who trusts Leonid Kuvayev overall

1. Ivo Grondman
2. Richard S. Sutton
3. Nicholas Rhinehart
4. Rowan Thomas McAllister
5. Csaba Szepesvari
6. Sergey Levine
7. Alborz Geramifard

Papers from Leonid Kuvayev's perspective

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

1. Residual Algorithms: Reinforcement Learning with Function Approximation
2. On-line Q-learning using connectionist systems
3. Stable Function Approximation in Dynamic Programming
4. Gradient-based learning applied to document recognition
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Learning from delayed rewards
8. Feature-based methods for large scale dynamic programming
9. Generalization in Reinforcement Learning: Safely Approximating the Value Function
10. Learning internal representations by error propagation

Their papers

• Model-Based Reinforcement Learning with an Approximate, Learned Model (1996)