Rocco Fazzolari

Reinforcement Learning · 2021

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

• Reinforcement Learning — 34 citations into it
• Artificial Intelligence — 29 citations into it

Whom Rocco Fazzolari trusts overall

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

1. Richard S. Sutton
2. Ben J. A. Kröse

Papers from Rocco Fazzolari's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Reinforcement Learning: An Introduction
3. Asynchronous Methods for Deep Reinforcement Learning
4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
5. Human-level control through deep reinforcement learning
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Curriculum learning

Their papers

• Multi-Agent Reinforcement Learning: A Review of Challenges and Applications (2021) — 426 citations