Johannes Ackermann

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Reinforcement Learning

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Top Venues

Publications

Soichiro Nishimori, Xin-Qiang Cai, Johannes Ackermann, Masashi Sugiyama
Leveraging Domain-Unlabeled Data in Offline Reinforcement Learning across Two Domains. CoRR (2024)
Johannes Ackermann, Takayuki Osa, Masashi Sugiyama
Offline Reinforcement Learning from Datasets with Structured Non-Stationarity. CoRR (2024)
Johannes Ackermann, Minjun Li
High-Resolution Image Editing via Multi-Stage Blended Diffusion. CoRR (2022)
Johannes Ackermann, Oliver Richter, Roger Wattenhofer
Unsupervised Task Clustering for Multi-task Reinforcement Learning. ECML/PKDD (1) (2021)
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
Impact of Acoustic and Interactive Disruptive Factors during Robot-Assisted Surgery - A Virtual Surgical Training Model. Sensors 20 (20) (2020)
Johannes Ackermann, Maximilian Schädler, Christian Blümm
Convolutional Neural Network Based Blind Estimation of Generalized Mutual Information for Optical Communication. ECOC (2020)
Johannes Ackermann, Volker Gabler, Takayuki Osa, Masashi Sugiyama
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics. CoRR (2019)