Christopher Grimm

Reinforcement Learning · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 40 citations into it
• Artificial Intelligence — 28 citations into it

Whom Christopher Grimm trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Csaba Szepesvari
4. Marc G. Bellemare
5. Martin L. Puterman
6. Amir-massoud Farahmand
7. David Silver
8. Doina Precup
9. Thomas G. Dietterich
10. Geoffrey E. Hinton

Who trusts Christopher Grimm overall

1. Ramtin Keramati

Papers from Christopher Grimm's perspective

Ordered by how strongly the researchers Christopher Grimm 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Reinforcement Learning: An Introduction
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Human-level control through deep reinforcement learning
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• The Value Equivalence Principle for Model-Based Reinforcement Learning (2020) — 103 citations
• Deep Abstract Q-Networks (2017) — 35 citations