Joan Bas-Serrano

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it
• Artificial Intelligence — 10 citations into it; #32,403 of 35,345 by trust here, #34,213 by citations
• Management Science and Operations Research — 7 citations into it; #10,857 of 11,946 by trust here, #11,360 by citations
• Computational Theory and Mathematics — 6 citations into it

Whom Joan Bas-Serrano trusts overall

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

1. Alexander Rakhlin
2. Mengdi Wang
3. Arkadi Nemirovski
4. J. Nieuwenhuis
5. Eric V. Denardo
6. R´emi Munos
7. Richard S. Sutton
8. Vijay R. Konda
9. D. Farias
10. Amir Beck

Who trusts Joan Bas-Serrano overall

1. Ofir Nachum

Papers from Joan Bas-Serrano's perspective

Ordered by how strongly the researchers Joan Bas-Serrano trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Trust Region Policy Optimization (International Conference on Machine Learning)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Markov Decision Processes: Discrete Stochastic Dynamic Programming

Their papers

• Faster saddle-point optimization for solving large-scale Markov decision processes (2019) — 14 citations