Derek Yang

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 20 citations into it
• Artificial Intelligence — 12 citations into it

Whom Derek Yang trusts overall

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

1. Marc G. Bellemare
2. Will Dabney
3. Ben J. A. Kröse
4. Martin L. Puterman
5. Richard S. Sutton
6. Hado van Hasselt
7. Ryuichi Oka
8. David Silver
9. R´emi Munos
10. Marlos C. Machado

Who trusts Derek Yang overall

1. Nino Vieillard
2. Arsenii Kuznetsov
3. Olivier Pietquin

Papers from Derek Yang's perspective

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

1. The Arcade Learning Environment: An Evaluation Platform for General Agents
2. Human-level control through deep reinforcement learning
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Reinforcement Learning: An Introduction
6. Asynchronous Methods for Deep Reinforcement Learning
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Fully Parameterized Quantile Function for Distributional Reinforcement Learning (2019) — 183 citations