Marco Mirolli

Cognitive Neuroscience · 2007–2016

A researcher in the Science corpus: 9 papers; trusts 87 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 192 citations into it; #9,114 of 10,852 by trust here, #5,528 by citations
• Reinforcement Learning — 102 citations into it; #1,155 of 2,242 by trust here, #1,331 by citations
• Cellular and Molecular Neuroscience — 95 citations into it
• Artificial Intelligence — 92 citations into it; #10,849 of 35,345 by trust here, #12,761 by citations
• Cognitive Science & Psychology — 49 citations into it
• Social Psychology — 40 citations into it; #14,480 of 15,694 by trust here, #13,677 by citations
• Molecular Biology — 39 citations into it
• Neuroscience — 37 citations into it; #471 of 487 by trust here, #461 by citations

Whom Marco Mirolli trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. J. Urgen Schmidhuber
4. Wolfram Schultz
5. Peter S. Dayan
6. Geoffrey E. Hinton
7. Satinder Singh
8. Radford M. Neal
9. Suzanne N. Haber
10. Pierre-Yves Oudeyer

Who trusts Marco Mirolli overall

1. Gianluca Baldassarre
2. Pierre-Yves Oudeyer
3. Adrien Baranes
4. Peter S. Dayan
5. Vieri Giuliano Santucci
6. Jacqueline Gottlieb
7. Manuel Lopes
8. Brenden M. Lake
9. Massimiliano Schembri
10. Francesco Mannella

Papers from Marco Mirolli's perspective

Ordered by how strongly the researchers Marco Mirolli 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. Reinforcement Learning: An Introduction
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Intrinsically Motivated Learning in Natural and Artificial Systems (2013) — 281 citations
• Intrinsic motivations and open-ended development in animals, humans, and robots: an overview (2014) — 68 citations
• Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot (2007) — 64 citations
• The roles of the amygdala in the affective regulation of body, brain, and behaviour (2010) — 40 citations
• GRAIL: A Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning (2016) — 109 citations
• Novelty or Surprise? (2013) — 369 citations
• Intrinsically motivated action-outcome learning and goal-based action recall: a system-level bio-constrained computational model. (2013) — 60 citations
• Evolution of Communication and Language in Embodied Agents (2009) — 102 citations
• Evolving Childhood's Length and Learning Parameters in an Intrinsically Motivated Reinforcement Learning Robot (2007) — 40 citations