Alberto Maria Metelli

Reinforcement Learning · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 48 citations into it
• Artificial Intelligence — 40 citations into it
• Management Science and Operations Research — 12 citations into it
• Computational Theory and Mathematics — 11 citations into it
• Optimization & Training — 8 citations into it

Whom Alberto Maria Metelli trusts overall

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

1. Ronald J. Williams
2. Philip S. Thomas
3. Jan Peters
4. Richard S. Sutton
5. Shun-ichi Amari
6. John Schulman
7. Sham M. Kakade
8. Geoffrey E. Hinton
9. Daan Wierstra
10. Reuven Y. Rubinstein

Who trusts Alberto Maria Metelli overall

1. P. Liotet
2. Francesco Vidaich

Papers from Alberto Maria Metelli's perspective

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

Their papers

• Policy Optimization via Importance Sampling (2018) — 103 citations
• Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization (2021) — 11 citations