Roberto Rama

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #34,904 of 35,345 by trust here, #31,361 by citations
• Reinforcement Learning — 16 citations into it

Whom Roberto Rama trusts overall

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

1. Marc Peter Deisenroth
2. Ronald J. Williams
3. Nikolaus Hansen
4. Jan Peters
5. Sergey Levine
6. Richard S. Sutton
7. Geoffrey E. Hinton
8. J. Bagnell
9. Pieter Abbeel
10. Stefan Schaal

Who trusts Roberto Rama overall

1. Konstantinos Chatzilygeroudis
2. J. A. G. Higuera
3. Adam Gaier

Papers from Roberto Rama's perspective

Ordered by how strongly the researchers Roberto Rama 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
6. Long Short-Term Memory
7. Human-level control through deep reinforcement learning
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Black-box data-efficient policy search for robotics (2017) — 115 citations