Baumann, Dominik

7 publications

TMLR 2025 Reinforcement Learning with Non-Ergodic Reward Increments: Robustness via Ergodicity Transformations Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön

AISTATS 2025 Safe Exploration in Reproducing Kernel Hilbert Spaces Abdullah Tokmak, Kiran G. Krishnan, Thomas B. Schön, Dominik Baumann

CLeaR 2025 Transfer Learning in Latent Contextual Bandits with Covariate Shift Through Causal Transportability Mingwei Deng, Ville Kyrki, Dominik Baumann

ICMLW 2024 Non-Ergodicity in Reinforcement Learning: Robustness via Ergodicity Transformations Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön

ICMLW 2024 Safe Exploration in Reproducing Kernel Hilbert Spaces Abdullah Tokmak, Kiran G. Krishnan, Thomas B. Schön, Dominik Baumann

L4DC 2023 Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control Lukas Kesper, Sebastian Trimpe, Dominik Baumann

TMLR 2022 Identifying Causal Structure in Dynamical Systems Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe