Eric
Reinforcement Learning · 2019
A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 20 citations into it
- Artificial Intelligence — 13 citations into it
- Cognitive Neuroscience — 7 citations into it
- Control and Systems Engineering — 5 citations into it
- Developmental and Educational Psychology — 5 citations into it
Whom Eric trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephen W. Carden
- L. R. Squire
- R. Weinberg
- Christopher J. C. H. Watkins
- Geoffrey G. Towell
- Pierre-Luc Bacon
- Volodymyr Mnih
- Tejas D. Kulkarni
- Matthew Johnson
- David Abel
Papers from Eric's perspective
Ordered by how strongly the researchers Eric trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Reinforcement Learning: An Introduction
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images