Julien Roy
Reinforcement Learning · 2019
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 23 citations into it
- Artificial Intelligence — 22 citations into it
Whom Julien Roy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael L. Littman
- Jakob N. Foerster
- Igor Mordatch
- Richard S. Sutton
- Geoffrey E. Hinton
- Shariq Iqbal
- Pieter Abbeel
- Diederik P. Kingma
- Tabish Rashid
- Yoshua Bengio
Papers from Julien Roy's perspective
Ordered by how strongly the researchers Julien Roy trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Human-level control through deep reinforcement learning
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images