Andras Gabor Kupcsik
Reinforcement Learning · 2013–2017
A researcher in the Science corpus: 4 papers; trusts 48 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 74 citations into it; #786 of 2,242 by trust here, #1,253 by citations
- Artificial Intelligence — 47 citations into it; #9,413 of 35,345 by trust here, #14,181 by citations
- Control and Systems Engineering — 29 citations into it; #4,803 of 8,257 by trust here, #6,417 by citations
- Robotics & Control — 23 citations into it; #185 of 609 by trust here, #359 by citations
- Biomedical Engineering — 18 citations into it
- Computational Theory and Mathematics — 15 citations into it
- Cognitive Neuroscience — 9 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
Whom Andras Gabor Kupcsik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jan Peters
- Marc Peter Deisenroth
- Gerhard Neumann
- Jeff Schneider
- Carl E. Rasmussen
- Stefan Schaal
- Christian Daniel
- Ronald J. Williams
- Christopher G. Atkeson
- Auke Jan Ijspeert
Who trusts Andras Gabor Kupcsik overall
- Gerhard Neumann
- Christian Wirth
- Herke Van Hoof
- Jan Peters
- Riad Akrour
- Robert Pinsler
- Péter Englert
- Aldo Pacchiano
- Chelsea Finn
- Ellen R. Novoseller
Papers from Andras Gabor Kupcsik's perspective
Ordered by how strongly the researchers Andras Gabor Kupcsik 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
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Reinforcement Learning: An Introduction
- GENERATIVE ADVERSARIAL NETS
Their papers
- Data-Efficient Generalization of Robot Skills with Contextual Policy Search (2013) — 135 citations
- Learning Dynamic Robot-to-Human Object Handover from Human Feedback (2016) — 92 citations
- Model-based contextual policy search for data-efficient generalization of robot skills (2017) — 80 citations
- Information-Theoretic Motor Skill Learning (2013) — 8 citations