Drew Wicke

Reinforcement Learning · 2018

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 33 citations into it
• Artificial Intelligence — 26 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Drew Wicke trusts overall

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

1. Ronald J. Williams
2. Richard S. Sutton
3. Michael L. Littman
4. David Silver
5. Pieter Abbeel
6. Geoffrey E. Hinton
7. James Martens
8. Barak A. Pearlmutter
9. Diederik P. Kingma
10. Yoshua Bengio

Who trusts Drew Wicke overall

1. Haotian Fu
2. Wendelin Böhmer
3. Tianhao Zhang

Papers from Drew Wicke's perspective

Ordered by how strongly the researchers Drew Wicke 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space (2018) — 37 citations
• Multiagent Soft Q-Learning (2018) — 87 citations