Sandeep Goel

Reinforcement Learning · 2003

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it

Whom Sandeep Goel trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Ronald E. Parr
4. Ben J. A. Kröse
5. Doina Precup
6. Leslie Pack Kaelbling
7. Sebastian Thrun
8. Amy McGovern
9. Longxin Lin
10. Manfred Huber

Who trusts Sandeep Goel overall

1. Francisco M. Garcia
2. Tejas D. Kulkarni
3. Philip S. Thomas
4. Ardavan Saeedi
5. Simanta Gautam

Papers from Sandeep Goel's perspective

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

1. Reinforcement Learning: An Introduction
2. Learning from delayed rewards
3. Reinforcement Learning: A Survey
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Reinforcement Learning with Hierarchies of Machines
8. Finding Structure in Reinforcement Learning
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Subgoal Discovery for Hierarchical Reinforcement Learning Using Learned Policies (2003) — 69 citations