U. Réglade

Computational Mechanics · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 5 citations into it

Whom U. Réglade trusts overall

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

1. Timothy A. Davis

Papers from U. Réglade's perspective

Ordered by how strongly the researchers U. Réglade 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. Human-level control through deep reinforcement learning
4. Playing Atari with Deep Reinforcement Learning (arXiv.org)
5. Proximal Policy Optimization Algorithms (arXiv.org)
6. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. TensorFlow: A system for large-scale machine learning
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control (2018) — 553 citations