Nicolas Cerardi
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 Nicolas Cerardi trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Timothy A. Davis (in Computational Theory and Mathematics)
- Bernd R. Noack (in Computational Mechanics)
- Steven L. Brunton (in Statistical and Nonlinear Physics)
Papers from Nicolas Cerardi's perspective
Ordered by how strongly the researchers Nicolas Cerardi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Human-level control through deep reinforcement learning
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- Proximal Policy Optimization Algorithms (arXiv.org)
- TensorFlow: A system for large-scale machine learning
- Benchmarking Deep Reinforcement Learning for Continuous Control
- Continuous Deep Q-Learning with Model-based Acceleration
- Multilayer feedforward networks are universal approximators