Renato Mancuso

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it
• Control and Systems Engineering — 8 citations into it
• Aerospace Engineering — 5 citations into it

Whom Renato Mancuso trusts overall

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

1. John Schulman
2. Nathan P. Koenig
3. Douglas J. Leith
4. Jemin Hwangbo
5. Richard S. Sutton
6. Timothy P. Lillicrap

Papers from Renato Mancuso's perspective

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

1. Reinforcement Learning: An Introduction
2. Trust Region Policy Optimization (International Conference on Machine Learning)
3. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Proximal Policy Optimization Algorithms (arXiv.org)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Reinforcement Learning for UAV Attitude Control (2018) — 473 citations