What Will Happen in Algorithm Country? - Simon Schmitt (KI, 2006)

A reference system for indoor localization testbeds. - Simon Schmitt; Heiko Will; Benjamin Aschenbrenner; Thomas Hillebrandt; Marcel Kyas (IPIN, 2012)

Virtual testbed for indoor localization. - Stephan Adler; Simon Schmitt; Heiko Will; Thomas Hillebrandt; Marcel Kyas (IPIN, 2013)

A virtual indoor localization testbed for Wireless Sensor Networks. - Simon Schmitt; Heiko Will; Thomas Hillebrandt; Marcel Kyas (SECON, 2013)

Device-free indoor localisation using radio tomography imaging in 800/900 MHz band. - Stephan Adler; Simon Schmitt; Marcel Kyas (IPIN, 2014)

Experimental evaluation of indoor localization algorithms. - Stephan Adler; Simon Schmitt; Yuan Yang 005; Yubin Zhao; Marcel Kyas (IPIN, 2014)

The effects of human body shadowing in RF-based indoor localization. - Simon Schmitt; Stephan Adler; Marcel Kyas (IPIN, 2014)

Experimental evaluation of the spatial error distribution of indoor localization algorithms. - Stephan Adler; Simon Schmitt; Marcel Kyas (UPINLBS, 2014)

Path loss and multipath effects in a real world indoor localization scenario. - Stephan Adler; Simon Schmitt; Marcel Kyas (WPNC, 2014)

Experimental evaluation of RF-based indoor localization algorithms under RF interference. - Filip Lemic; Vlado Handziski; Adam Wolisz; Timotheos Constambeys; Christos Laoudias; Stephan Adler; Simon Schmitt; Yuan Yang 005 (ICL-GNSS, 2015)

A survey of experimental evaluation in indoor localization research. - Stephan Adler; Simon Schmitt; Katinka Wolter; Marcel Kyas (IPIN, 2015)

Conditional erosion to estimate routing graph out of floor plans. - Simon Schmitt; Larissa Zech; Thomas Willemsen; Harald Sternberg; Marcel Kyas (IPIN, 2016)

Fast routing graph extraction from floor plans. - Simon Schmitt; Larissa Zech; Katinka Wolter; Thomas Willemsen; Harald Sternberg; Marcel Kyas (IPIN, 2017)

Qudi: A modular python suite for experiment control and data processing. - Jan M. Binder; Alexander Stark; Nikolas Tomek; Jochen Scheuer; Florian Frank 006; Kay D. Jahnke; Christoph Müller; Simon Schmitt; Mathias H. Metsch; Thomas Unden; Tobias Gehring; Alexander Huck; et al. (SoftwareX, 2017)

K-Miner: Uncovering Memory Corruption in Linux. - David Gens; Simon Schmitt; Lucas Davi; Ahmad-Reza Sadeghi (NDSS, 2018)

Kickstarting Deep Reinforcement Learning. - Simon Schmitt; Jonathan J. Hudson; Augustin Zídek; Simon Osindero; Carl Doersch; Wojciech M. Czarnecki; Joel Z. Leibo; Heinrich Küttler; Andrew Zisserman; Karen Simonyan; S. M. Ali Eslami (CoRR, 2018)

Multi-Task Deep Reinforcement Learning with PopArt. - Matteo Hessel; Hubert Soyer; Lasse Espeholt; Wojciech Czarnecki 001; Simon Schmitt; Hado van Hasselt (AAAI, 2019)

Gated Linear Networks. - Joel Veness; Tor Lattimore; Avishkar Bhoopchand; David Budden; Christopher Mattern; Agnieszka Grabska-Barwinska; Peter Toth; Simon Schmitt; Marcus Hutter (CoRR, 2019)

Evaluation distanzbasierter Lokalisierung in Gebäuden. - Simon Schmitt (2019)

Off-Policy Actor-Critic with Shared Experience Replay. - Simon Schmitt; Matteo Hessel; Karen Simonyan (ICML, 2020)

Finding polynomial roots by dynamical systems - a case study. - Sergey Shemyakov; Roman Chernov; Dzmitry Rumiantsau; Dierk Schleicher; Simon Schmitt; Anton Shemyakov (CoRR, 2020)

AlgebraNets. - Jordan Hoffmann; Simon Schmitt; Simon Osindero; Karen Simonyan; Erich Elsen (CoRR, 2020)

Mastering Atari, Go, chess and shogi by planning with a learned model. - Julian Schrittwieser; Ioannis Antonoglou; Thomas Hubert; Karen Simonyan; Laurent Sifre; Simon Schmitt; Arthur Guez; Edward Lockhart; Demis Hassabis; Thore Graepel; Timothy P. Lillicrap; David Silver (Nat., 2020)

Gated Linear Networks. - Joel Veness; Tor Lattimore; David Budden; Avishkar Bhoopchand; Christopher Mattern; Agnieszka Grabska-Barwinska; Eren Sezener; Jianan Wang; Peter Toth; Simon Schmitt; Marcus Hutter (AAAI, 2021)

Muesli: Combining Improvements in Policy Optimization. - Matteo Hessel; Ivo Danihelka; Fabio Viola; Arthur Guez; Simon Schmitt; Laurent Sifre; Theophane Weber; David Silver; Hado van Hasselt (ICML, 2021)

Learning and Planning in Complex Action Spaces. - Thomas Hubert; Julian Schrittwieser; Ioannis Antonoglou; Mohammadamin Barekatain; Simon Schmitt; David Silver (ICML, 2021)

A Network Control Theory Approach to Longitudinal Symptom Dynamics in Major Depressive Disorder. - Tim Hahn; Hamidreza Jamalabadi; Daniel Emden; Janik Goltermann; Jan Ernsting; Nils R. Winter; Lukas Fisch; Ramona Leenings; Kelvin Sarink; Vincent Holstein; Marius Gruber; Dominik Grotegerd; et al. (CoRR, 2021)

Chaining Value Functions for Off-Policy Learning. - Simon Schmitt; John Shawe-Taylor; Hado van Hasselt (AAAI, 2022)

Exploration via Epistemic Value Estimation. - Simon Schmitt; John Shawe-Taylor; Hado van Hasselt (AAAI, 2023)

General Uncertainty Estimation with Delta Variances. - Simon Schmitt; John Shawe-Taylor; Hado van Hasselt (AAAI, 2025)