Massimiliano Schembri

Reinforcement Learning · 2007

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 13 citations into it

Whom Massimiliano Schembri trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. J. Urgen Schmidhuber
4. Stefano Nolfi
5. Satinder Singh
6. R. W. White
7. Doina Precup
8. Xiao Huang
9. Geoffrey E. Hinton
10. Wolfram Schultz

Who trusts Massimiliano Schembri overall

1. Adrien Baranes
2. Gianluca Baldassarre
3. Pierre-Yves Oudeyer
4. Peter S. Dayan
5. Marco Mirolli
6. Vieri Giuliano Santucci
7. Manuel Lopes

Papers from Massimiliano Schembri's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot (2007) — 64 citations
• Evolving Childhood's Length and Learning Parameters in an Intrinsically Motivated Reinforcement Learning Robot (2007) — 40 citations