Mario Zanon
Control and Systems Engineering · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 23 citations into it; #2,990 of 8,257 by trust here, #6,764 by citations
- Numerical Analysis — 10 citations into it
- Reinforcement Learning — 10 citations into it
- Computational Theory and Mathematics — 8 citations into it; #4,967 of 12,182 by trust here, #10,901 by citations
Whom Mario Zanon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Q. Mayne
- Moritz Diehl
- Ben J. A. Kröse
- Richard S. Sutton
- Luigi Chisci
- David Silver
- Gal Dalal
- Frank L. Lewis
- Toshiyuki Ohtsuka
- Jorge Nocedal
Who trusts Mario Zanon overall
- Shangding Gu
- Julian Berberich
- Yali Du
- Johannes Köhler
- Long Yang
- Guang Chen
- Longyu Yang
- Matthias Albrecht Müller
Papers from Mario Zanon's perspective
Ordered by how strongly the researchers Mario Zanon trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Policy Gradient Methods for Reinforcement Learning with Function Approximation
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Mastering the game of Go with deep neural networks and tree search
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Safe Reinforcement Learning Using Robust MPC (2019) — 342 citations
- From linear to nonlinear MPC: bridging the gap via the real-time iteration (2020) — 351 citations