Jacopo Panerati

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Reinforcement Learning — 29 citations into it

Whom Jacopo Panerati trusts

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

1. Pieter Abbeel (in Artificial Intelligence)
2. Sergey Levine (in Artificial Intelligence)
3. Richard S. Sutton (in Reinforcement Learning)
4. Andrew Barto (in Reinforcement Learning)
5. Mohammad Ghavamzadeh (in Artificial Intelligence)
6. Marc Peter Deisenroth (in Reinforcement Learning)

Papers from Jacopo Panerati's perspective

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

1. Reinforcement Learning: An Introduction
2. Human-level control through deep reinforcement learning
3. Trust Region Policy Optimization (International Conference on Machine Learning)
4. Deep Reinforcement Learning that Matters
5. A Distributional Perspective on Reinforcement Learning
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Safe Exploration in Markov Decision Processes
8. Safe Model-based Reinforcement Learning with Stability Guarantees
9. Constrained Policy Optimization
10. ImageNet classification with deep convolutional neural networks

Their papers

• Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning (2021) — 983 citations