Johannes Ackermann

According to our database, Johannes Ackermann authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Leveraging Domain-Unlabeled Data in Offline Reinforcement Learning across Two Domains.

Soichiro Nishimori, Xin-Qiang Cai, Johannes Ackermann, Masashi Sugiyama

CoRR, 2024

Offline Reinforcement Learning from Datasets with Structured Non-Stationarity.

Johannes Ackermann, Takayuki Osa, Masashi Sugiyama

RLJ, 2024

2022

High-Resolution Image Editing via Multi-Stage Blended Diffusion.

Johannes Ackermann, Minjun Li

CoRR, 2022

2021

Unsupervised Task Clustering for Multi-task Reinforcement Learning.

Johannes Ackermann, Oliver Richter, Roger Wattenhofer

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Impact of Acoustic and Interactive Disruptive Factors during Robot-Assisted Surgery - A Virtual Surgical Training Model.

Magret Krüger, Johannes Ackermann, Daniar Osmonov, Veronika Günther, Dirk Bauerschlag, Johannes Hensler, Jan-Hendrik Egberts, Sebastian Lippross, Georgios Gitas, Thomas Becker, Nicolai Maass, Klaus-Peter Jünemann, Ibrahim Alkatout

Sensors, 2020

Convolutional Neural Network Based Blind Estimation of Generalized Mutual Information for Optical Communication.

Johannes Ackermann, Maximilian Schädler, Christian Blümm

Proceedings of the European Conference on Optical Communications, 2020

2019

Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics.

Johannes Ackermann, Volker Gabler, Takayuki Osa, Masashi Sugiyama

CoRR, 2019