Chris Harris

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 25 citations into it
• Artificial Intelligence — 23 citations into it
• Management Science and Operations Research — 8 citations into it
• Statistics and Probability — 6 citations into it

Whom Chris Harris trusts overall

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

1. Richard S. Sutton
2. Miroslav Dud'ik
3. Sylvain Koos
4. Sham M. Kakade
5. Philip S. Thomas
6. J. Langford
7. Susan A. Murphy

Papers from Chris Harris's perspective

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

1. Human-level control through deep reinforcement learning
2. ImageNet: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
5. The Arcade Learning Environment: An Evaluation Platform for General Agents
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. MuJoCo: A physics engine for model-based control
9. Reinforcement Learning: An Introduction
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Off-Policy Evaluation via Off-Policy Classification (2019) — 56 citations