Manuel Lopes
Artificial Intelligence · 2005–2016
A researcher in the Science corpus: 17 papers; trusts 156 researchers and is trusted by 59 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 131 citations into it; #3,905 of 35,345 by trust here, #6,014 by citations
- Cognitive Neuroscience — 97 citations into it
- Reinforcement Learning — 86 citations into it; #919 of 2,242 by trust here, #1,139 by citations
- Control and Systems Engineering — 62 citations into it; #553 of 8,257 by trust here, #707 by citations
- Social Psychology — 49 citations into it; #5,904 of 15,694 by trust here, #7,614 by citations
- Developmental and Educational Psychology — 42 citations into it; #4,148 of 8,223 by trust here, #3,048 by citations
- Cognitive Science & Psychology — 24 citations into it; #462 of 582 by trust here, #332 by citations
- Computer Vision and Pattern Recognition — 22 citations into it; #11,367 of 21,575 by trust here, #17,757 by citations
Whom Manuel Lopes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stefan Schaal
- Richard S. Sutton
- Andrew Barto
- J. Urgen Schmidhuber
- Pierre-Yves Oudeyer
- Andrew Y. Ng
- Adrien Baranes
- Satinder Singh
- Radford M. Neal
- Luis Montesano
Who trusts Manuel Lopes overall
- Pierre-Yves Oudeyer
- Sao Mai Nguyen
- Luis Montesano
- Daniel S. Brown
- Scott Niekum
- Adrien Baranes
- Oliver Kroemer
- Sergey Levine
- José Santos-Victor
- Francisco S. Melo
Papers from Manuel Lopes's perspective
Ordered by how strongly the researchers Manuel Lopes trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Reinforcement Learning: An Introduction
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Multi-Armed Bandits for Intelligent Tutoring Systems (2013) — 154 citations
- The strategic student approach for life-long exploration and learning (2012) — 58 citations
- Active Learning for Reward Estimation in Inverse Reinforcement Learning (2009) — 217 citations
- Learning Object Affordances: From Sensory--Motor Coordination to Imitation (2008) — 438 citations
- Learning grasping affordances from local visual descriptors (2009) — 105 citations
- Active learning of visual descriptors for grasping using non-parametric smoothed beta distributions (2012) — 47 citations
- Algorithmic and Human Teaching of Sequential Decision Tasks (2012) — 117 citations
- Intrinsic motivation, curiosity, and learning: Theory and applications in educational technologies. (2016) — 308 citations
- Body schema acquisition through active learning (2010) — 52 citations
- Visual learning by imitation with motor representations (2005) — 114 citations
- Abstraction Levels for Robotic Imitation: Overview and Computational Approaches (2010) — 50 citations
- A Developmental Roadmap for Learning by Imitation in Robots (2007) — 70 citations
- The iCub humanoid robot: An open-systems platform for research in cognitive development (2010) — 623 citations
- A Computational Model of Social-Learning Mechanisms (2009) — 28 citations
- Information seeking, curiosity and attention: computational and neural mechanisms (2013) — 115 citations
- Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress (2012) — 209 citations
- Guest Editorial Active Learning and Intrinsically Motivated Exploration in Robots: Advances and Challenges (2010) — 39 citations