Robert C. Grande

Reinforcement Learning · 2014

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it
• Artificial Intelligence — 7 citations into it

Whom Robert C. Grande trusts overall

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

1. Alexander L. Strehl
2. Martin L. Puterman
3. Lihong Li
4. Marc Peter Deisenroth
5. Eyal Even-Dar
6. Lehel Csató
7. Jason Pazis
8. Michael L. Littman
9. Yaakov Engel
10. Richard S. Sutton

Who trusts Robert C. Grande overall

1. Jason Pazis

Papers from Robert C. Grande's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Markov Decision Processes: Discrete Stochastic Dynamic Programming
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Sample Efficient Reinforcement Learning with Gaussian Processes (2014) — 68 citations