van der D David Pol
Reinforcement Learning · 2016
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 9 citations into it; #403 of 2,242 by trust here, #1,586 by citations
- Artificial Intelligence — 8 citations into it
Whom van der D David Pol trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin A. Riedmiller
- Longxin Lin
- Marco A. Wiering
- Yann LeCun
- Hado van Hasselt
- Carlos Guestrin
- Tom Schaul
- David Silver
- Richard S. Sutton
- Daniel Krajzewicz
Who trusts van der D David Pol overall
- Hua Wei
- Zhi Zhang
- Saeed Rahmani
- Qiang Liu
- Tianshu Chu
- Seyed Sajad Mousavi
- Peter Sunehag
- Chacha Chen
- Guanjie Zheng
- Pablo Hernandez-Leal
Papers from van der D David Pol's perspective
Ordered by how strongly the researchers van der D David Pol trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions