Torsten Koller

IEEE Conference on Decision and Control · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Torsten Koller trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Richard S. Sutton
2. Andreas Wächter
3. Jus Kocijan
4. Andrew Barto
5. Christopher Xie
6. Lorenz T. Biegler
7. Grace Wahba
8. Carl E. Rasmussen
9. Joel A. E. Andersson
10. Roderick Murray-Smith

Who trusts Torsten Koller overall

1. Lukas Hewing
2. Shangding Gu
3. Richard Cheng
4. Kim Peter Wabersich
5. Gábor Orosz

Papers from Torsten Koller's perspective

Ordered by how strongly the researchers Torsten Koller trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. PILCO: A Model-Based and Data-Efficient Approach to Policy Search
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Spline Models for Observational Data
7. On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
8. Safe Model-based Reinforcement Learning with Stability Guarantees
9. Provably safe and robust learning-based model predictive control
10. Model-based reinforcement learning with parametrized physical models and optimism-driven exploration

Their papers

• Learning-Based Model Predictive Control for Safe Exploration (2018) — 439 citations