Search Results for author: Christian Scheller

Found 11 papers, 6 papers with code

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

1 code implementation17 Jan 2023 Michel Plüss, Yanick Schraner, Christian Scheller, Manfred Vogel

We present the results and findings of the 2nd Swiss German speech to Standard German text shared task at SwissText 2022.

Sentence

Swiss German Speech to Text system evaluation

no code implementations1 Jul 2022 Yanick Schraner, Christian Scheller, Michel Plüss, Manfred Vogel

We compare the four systems to our STT model, referred to as FHNW from hereon after, and provide details on how we trained our model.

Distilling Reinforcement Learning Tricks for Video Games

1 code implementation1 Jul 2021 Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki

Reinforcement learning (RL) research focuses on general solutions that can be applied across different domains.

Q-Learning reinforcement-learning +1

Flatland-RL : Multi-Agent Reinforcement Learning on Trains

no code implementations10 Dec 2020 Sharada Mohanty, Erik Nygren, Florian Laurent, Manuel Schneider, Christian Scheller, Nilabha Bhattacharya, Jeremy Watson, Adrian Egli, Christian Eichenberger, Christian Baumberger, Gereon Vienken, Irene Sturm, Guillaume Sartoretti, Giacomo Spigler

In order to probe the potential of Machine Learning (ML) research on Flatland, we (1) ran a first series of RL and IL experiments and (2) design and executed a public Benchmark at NeurIPS 2020 to engage a large community of researchers to work on this problem.

Imitation Learning Multi-agent Reinforcement Learning +3

Action Space Shaping in Deep Reinforcement Learning

1 code implementation2 Apr 2020 Anssi Kanervisto, Christian Scheller, Ville Hautamäki

In this work, we aim to gain insight on these action space modifications by conducting extensive experiments in video-game environments.

reinforcement-learning Reinforcement Learning (RL)

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