Davide Nitti

Reinforcement Learning · 2015

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it
• Artificial Intelligence — 7 citations into it; #27,109 of 35,345 by trust here, #31,361 by citations

Whom Davide Nitti trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Levente Kocsis
4. Luc De Raedt
5. Michael Kearns
6. Leonid Peshkin
7. Csaba Szepesvari
8. Yishay Mansour
9. R´emi Munos
10. Andrew Y. Ng

Who trusts Davide Nitti overall

1. Vaishak Belle
2. Jan-Willem van de Meent
3. Brooks Paige
4. Hao Cui

Papers from Davide Nitti's perspective

Ordered by how strongly the researchers Davide Nitti trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Eligibility Traces for Off-Policy Policy Evaluation
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming (2015) — 23 citations
• Sample-based abstraction for hybrid relational MDPs (2015) — 4 citations