Angela P. Schoellig
Artificial Intelligence · 2010–2021
A researcher in the Science corpus: 8 papers; trusts 54 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 84 citations into it; #18,903 of 35,345 by trust here, #10,566 by citations
- Control and Systems Engineering — 64 citations into it; #995 of 8,257 by trust here, #423 by citations
- Reinforcement Learning — 51 citations into it; #2,131 of 2,242 by trust here, #1,139 by citations
- Computational Theory and Mathematics — 27 citations into it; #4,204 of 12,182 by trust here, #3,218 by citations
- Computer Vision and Pattern Recognition — 21 citations into it; #12,527 of 21,575 by trust here, #14,151 by citations
- Management Science and Operations Research — 18 citations into it
- Aerospace Engineering — 17 citations into it
- Robotics & Control — 9 citations into it
Whom Angela P. Schoellig trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael I. Jordan
- Richard S. Sutton
- Felix Berkenkamp
- Jan Peters
- Teodor Mihai Moldovan
- Robert F. Stengel
- Anil Jayanti Aswani
- Pieter Abbeel
- Stephen P. Boyd
- David Q. Mayne
Who trusts Angela P. Schoellig overall
- Lukas Hewing
- Felix Berkenkamp
- Markus Achtelik
- Moses Bangura
- Vijay R. Kumar
- Lukas Brunke
- Sanket Kamthe
- Daniel Mellinger
- Andreas Krause
- Guanya Shi
Papers from Angela P. Schoellig's perspective
Ordered by how strongly the researchers Angela P. Schoellig 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)
- Reinforcement Learning: An Introduction
- 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
- Human-level control through deep reinforcement learning
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Safe Model-based Reinforcement Learning with Stability Guarantees (2017) — 1,021 citations
- Learning-based nonlinear model predictive control to improve vision-based mobile robot path-tracking in challenging outdoor environments (2014) — 67 citations
- Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning (2021) — 983 citations
- A simple learning strategy for high-speed quadrocopter multi-flips (2010) — 392 citations
- Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics (2016) — 364 citations
- Robust Constrained Learning-based NMPC enabling reliable mobile robot path tracking (2016) — 236 citations
- Safe controller optimization for quadrotors with Gaussian processes (2015) — 335 citations
- Generation of collision-free trajectories for a quadrocopter fleet: A sequential convex programming approach (2012) — 353 citations