James C. Davidson

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it
• Artificial Intelligence — 8 citations into it

Whom James C. Davidson trusts overall

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

1. Richard S. Sutton
2. Hado van Hasselt
3. Andrew Barto

Papers from James C. Davidson's perspective

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

1. Reinforcement Learning: An Introduction
2. Human-level control through deep reinforcement learning
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
7. Deep Reinforcement Learning with Double Q-Learning
8. Prioritized Experience Replay
9. Long Short-Term Memory
10. Curiosity-Driven Exploration by Self-Supervised Prediction

Their papers

• Forward-Backward Reinforcement Learning (2018) — 44 citations