activity
20202023
most citedFlatland-RL : Multi-Agent Reinforcement Learning on Trains

12 citations · 29 across the 7 of their papers we have counts for

collaborators

10 papers

cs.CL2023

STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions

Michel Plüss, Jan Deriu, Yanick Schraner +8

We present STT4SG-350 (Speech-to-Text for Swiss German), a corpus of Swiss German speech, annotated with Standard German text at the sentence level. The data is collected using a w…

cs.CL2023★ 1 cited

2nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022

Michel Plüss, Yanick Schraner, Christian Scheller +1

We present the results and findings of the 2nd Swiss German speech to Standard German text shared task at SwissText 2022. Participants were asked to build a sentence-level Swiss Ge…

cs.CL2022

Swiss German Speech to Text system evaluation

Yanick Schraner, Christian Scheller, Michel Plüss +1

We present an in-depth evaluation of four commercially available Speech-to-Text (STT) systems for Swiss German. The systems are anonymized and referred to as system a-d in this rep…

cs.CL2022

SDS-200: A Swiss German Speech to Standard German Text Corpus

Michel Plüss, Manuela Hürlimann, Marc Cuny +10

We present SDS-200, a corpus of Swiss German dialectal speech with Standard German text translations, annotated with dialect, age, and gender information of the speakers. The datas…

cs.LG2021

Distilling Reinforcement Learning Tricks for Video Games

Anssi Kanervisto, Christian Scheller, Yanick Schraner +1

Reinforcement learning (RL) research focuses on general solutions that can be applied across different domains. This results in methods that RL practitioners can use in almost any…

cs.LG2021★ 1 cited

Towards robust and domain agnostic reinforcement learning competitions

William Hebgen Guss, Stephanie Milani, Nicholay Topin +26

Reinforcement learning competitions have formed the basis for standard research benchmarks, galvanized advances in the state-of-the-art, and shaped the direction of the field. Desp…