Alfredo V. Clemente

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 8 citations into it; #1,505 of 2,242 by trust here, #2,036 by citations
• Artificial Intelligence — 7 citations into it; #21,588 of 35,345 by trust here, #28,481 by citations

Whom Alfredo V. Clemente trusts overall

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

1. Volodymyr Mnih
2. Richard S. Sutton
3. Razvan Pascanu
4. Marc G. Bellemare
5. Koray Kavukcuoglu
6. Ronald J. Williams
7. Yoshua Bengio
8. Alex Graves
9. Mohammad Babaeizadeh
10. Geoffrey E. Hinton

Who trusts Alfredo V. Clemente overall

1. Artyom Y. Sorokin
2. Shangtong Zhang
3. Mikhail S. Burtsev
4. Lasse Espeholt
5. Wendelin Böhmer
6. Adam Stooke

Papers from Alfredo V. Clemente's perspective

Ordered by how strongly the researchers Alfredo V. Clemente 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Asynchronous Methods for Deep Reinforcement Learning
9. Learning Multiple Layers of Features from Tiny Images
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Efficient Parallel Methods for Deep Reinforcement Learning (2017) — 119 citations