Alexandros Paraschos
Reinforcement Learning · 2013–2014
A researcher in the Science corpus: 5 papers; trusts 43 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 57 citations into it; #1,831 of 2,242 by trust here, #2,063 by citations
- Control and Systems Engineering — 41 citations into it; #6,862 of 8,257 by trust here, #4,722 by citations
- Artificial Intelligence — 40 citations into it; #19,420 of 35,345 by trust here, #21,878 by citations
- Biomedical Engineering — 20 citations into it; #8,174 of 10,734 by trust here, #8,509 by citations
- Robotics & Control — 17 citations into it
- Cognitive Neuroscience — 11 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Computational Theory and Mathematics — 8 citations into it; #9,540 of 12,182 by trust here, #8,756 by citations
Whom Alexandros Paraschos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jan Peters
- Richard S. Sutton
- Stefan Schaal
- Marc Toussaint
- E. Todorov
- Andrew Y. Ng
- Alessandro Lazaric
- Andrew Barto
- Auke Jan Ijspeert
- Jun Nakanishi
Who trusts Alexandros Paraschos overall
- Sergey Levine
- Takayuki Osa
- Seyed Reza Ahmadzadeh
- Harish Chaandar Ravichandar
- Yaron Meirovitch
- Jan Peters
- Marc Peter Deisenroth
- Sonia Chernova
- Gerhard Neumann
- Pieter Abbeel
Papers from Alexandros Paraschos's perspective
Ordered by how strongly the researchers Alexandros Paraschos 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)
- Reinforcement Learning: An Introduction
- 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
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
Their papers
- Sample-based informationl-theoretic stochastic optimal control (2014) — 32 citations
- Model-based imitation learning by probabilistic trajectory matching (2013) — 61 citations
- Probabilistic model-based imitation learning (2013) — 58 citations
- Probabilistic Movement Primitives (2013) — 728 citations
- A probabilistic approach to robot trajectory generation (2013) — 25 citations