Lucas Cassano

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Reinforcement Learning — 17 citations into it
• Computer Networks and Communications — 15 citations into it
• Optimization & Training — 13 citations into it
• Computational Mechanics — 8 citations into it

Whom Lucas Cassano trusts overall

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

1. Richard S. Sutton
2. Ali H. Sayed
3. Satinder Singh
4. Kun Yuan
5. Sergio Valcarcel Macua
6. Hado van Hasselt
7. Aaron Defazio
8. Ben Kehoe
9. Christoph Dann
10. Angelia Nedić

Papers from Lucas Cassano's perspective

Ordered by how strongly the researchers Lucas Cassano 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Asynchronous Methods for Deep Reinforcement Learning
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Reinforcement Learning: An Introduction
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates (2018) — 44 citations