Jochen J. Steil
Cognitive Neuroscience · 2007–2015
A researcher in the Science corpus: 12 papers; trusts 32 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 67 citations into it; #1,167 of 10,852 by trust here, #3,487 by citations
- Control and Systems Engineering — 46 citations into it; #1,336 of 8,257 by trust here, #1,545 by citations
- Cellular and Molecular Neuroscience — 41 citations into it; #1,300 of 2,998 by trust here, #2,704 by citations
- Artificial Intelligence — 34 citations into it; #6,651 of 35,345 by trust here, #15,236 by citations
- Biomedical Engineering — 23 citations into it
- Social Psychology — 22 citations into it
- Electrical and Electronic Engineering — 19 citations into it; #1,423 of 16,539 by trust here, #8,802 by citations
- Reinforcement Learning — 18 citations into it
Whom Jochen J. Steil trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Seyed Mohammad Khansari-Zadeh
- Aude Gemma Billard
- Stefan Schaal
- Andrea Soltoggio
- K. Zadeh
- Richard S. Sutton
- Michael I. Jordan
- Wolfram Schultz
- Auke Jan Ijspeert
- Klaus Neumann
Who trusts Jochen J. Steil overall
- J. Urgen Schmidhuber
- Harish Chaandar Ravichandar
- Ali Rodan
- Benjamin Schrauwen
- Andrea Soltoggio
- Peter Tino
- Pierre-Yves Oudeyer
- David Verstraeten
- Duy Nguyen-Tuong
- Ashwin P. Dani
Papers from Jochen J. Steil's perspective
Ordered by how strongly the researchers Jochen J. Steil trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Is imitation learning the route to humanoid robots?
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Et al
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Attractor Landscapes for Learning Motor Primitives
- GENERATIVE ADVERSARIAL NETS
- ImageNet: A large-scale hierarchical image database
Their papers
- Open-source benchmarking for learned reaching motion generation in robotics (2015) — 43 citations
- Automatic selection of task spaces for imitation learning (2009) — 56 citations
- 2007 Special Issue: Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning (2007) — 189 citations
- Learning robot motions with stable dynamical systems under diffeomorphic transformations (2015) — 104 citations
- Rare Neural Correlations Implement Robotic Conditioning with Delayed Rewards and Disturbances (2013) — 20 citations
- Solving the Distal Reward Problem with Rare Correlations (2013) — 33 citations
- Robots Show Us How to Teach Them: Feedback from Robots Shapes Tutoring Behavior during Action Learning (2014) — 59 citations
- Neural learning of vector fields for encoding stable dynamical systems (2014) — 56 citations
- Learning the rules of a game: Neural conditioning in human-robot interaction with delayed rewards (2013) — 11 citations
- Neural learning of stable dynamical systems based on data-driven Lyapunov candidates (2013) — 61 citations
- Online Goal Babbling for rapid bootstrapping of inverse models in high dimensions (2011) — 84 citations
- Goal Babbling Permits Direct Learning of Inverse Kinematics (2010) — 192 citations