Christian Scheller

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 21

Top Topics

Reinforcement Learning

Function Approximation

Top Venues

NeurIPS (Competition and Demos)

Publications

Michel Plüss, Jan Deriu, Yanick Schraner, Claudio Paonessa, Julia Hartmann, Larissa Schmidt, Christian Scheller, Manuela Hürlimann, Tanja Samardzic, Manfred Vogel, Mark Cieliebak
STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions. CoRR (2023)
Michel Plüss, Jan Deriu, Yanick Schraner, Claudio Paonessa, Julia Hartmann, Larissa Schmidt, Christian Scheller, Manuela Hürlimann, Tanja Samardzic, Manfred Vogel, Mark Cieliebak
STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions. ACL (2) (2023)
Michel Plüss, Yanick Schraner, Christian Scheller, Manfred Vogel
2nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022. CoRR (2023)
Michel Plüss, Manuela Hürlimann, Marc Cuny, Alla Stöckli, Nikolaos Kapotis, Julia Hartmann, Malgorzata Anna Ulasik, Christian Scheller, Yanick Schraner, Amit Jain, Jan Deriu, Mark Cieliebak, Manfred Vogel
SDS-200: A Swiss German Speech to Standard German Text Corpus. LREC (2022)
Michel Plüss, Yanick Schraner, Christian Scheller, Manfred Vogel
2nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022. SwissText (2022)
Yanick Schraner, Christian Scheller, Michel Plüss, Manfred Vogel
Swiss German Speech to Text system evaluation. CoRR (2022)
Michel Plüss, Manuela Hürlimann, Marc Cuny, Alla Stöckli, Nikolaos Kapotis, Julia Hartmann, Malgorzata Anna Ulasik, Christian Scheller, Yanick Schraner, Amit Jain, Jan Deriu, Mark Cieliebak, Manfred Vogel
SDS-200: A Swiss German Speech to Standard German Text Corpus. CoRR (2022)
Yanick Schraner, Christian Scheller, Michel Plüss, Lukas Neukom, Manfred Vogel
Comparison of Unsupervised Learning and Supervised Learning with Noisy Labels for Low-Resource Speech Recognition. INTERSPEECH (2022)
Michel Plüss, Lukas Neukom, Christian Scheller, Manfred Vogel
Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text Corpus. SwissText (2021)
Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki
Distilling Reinforcement Learning Tricks for Video Games. CoRR (2021)
William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada P. Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge J. Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute
Towards robust and domain agnostic reinforcement learning competitions. CoRR (2021)
Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki
Distilling Reinforcement Learning Tricks for Video Games. CoG (2021)
Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. CoRR (2021)
Anssi Kanervisto, Christian Scheller, Ville Hautamäki
Action Space Shaping in Deep Reinforcement Learning. CoG (2020)
Steffen Blömeke, Mark Mennenga, Christoph Herrmann, Lars Kintscher, Gert Bikker, Sebastian Lawrenz, Priyanka Sharma, Andreas Rausch, Mathias Nippraschk, Daniel Goldmann, Hendrik Poschmann, Holger Brüggemann, Christian Scheller, Thomas Spengler
Recycling 4.0: An Integrated Approach Towards an Advanced Circular Economy. ICT4S (2020)
Anssi Kanervisto, Christian Scheller, Ville Hautamäki
Action Space Shaping in Deep Reinforcement Learning. CoRR (2020)
William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada P. Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge J. Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute
Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020. NeurIPS (Competition and Demos) (2020)
Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. NeurIPS (Competition and Demos) (2020)
Christian Scheller, Yanick Schraner, Manfred Vogel
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft. CoRR (2020)
Sharada Prasanna Mohanty, Erik Nygren, Florian Laurent, Manuel Schneider, Christian Scheller, Nilabha Bhattacharya, Jeremy D. Watson, Adrian Egli, Christian Eichenberger, Christian Baumberger, Gereon Vienken, Irene Sturm, Guillaume Sartoretti, Giacomo Spigler
Flatland-RL : Multi-Agent Reinforcement Learning on Trains. CoRR (2020)
Christian Scheller, Yanick Schraner, Manfred Vogel
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft. NeurIPS (Competition and Demos) (2019)