Planning from Pixels in Environments with Combinatorially Hard Search Spaces. - Marco Bagatella; Miroslav Olsák; Michal Rolínek; Georg Martius (NeurIPS, 2021)

TempoRL: Temporal Priors for Exploration in Off-Policy Reinforcement Learning. - Marco Bagatella; Sammy Joe Christen; Otmar Hilliges (CoRR, 2022)

SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning. - Marco Bagatella; Sammy Joe Christen; Otmar Hilliges (Trans. Mach. Learn. Res., 2022)

Efficient Learning of High Level Plans from Play. - Núria Armengol Urpí; Marco Bagatella; Otmar Hilliges; Georg Martius; Stelian Coros (ICRA, 2023)

Goal-conditioned Offline Planning from Curious Exploration. - Marco Bagatella; Georg Martius (NeurIPS, 2023)

Modelling Microbial Communities with Graph Neural Networks. - Albane Ruaud; Cansu Sancaktar; Marco Bagatella; Christoph Ratzke; Georg Martius (ICML, 2024)

Causal Action Influence Aware Counterfactual Data Augmentation. - Núria Armengol Urpí; Marco Bagatella; Marin Vlastelica; Georg Martius (ICML, 2024)

Active Fine-Tuning of Generalist Policies. - Marco Bagatella; Jonas Hübotter; Georg Martius; Andreas Krause 001 (CoRR, 2024)

Zero-Shot Offline Imitation Learning via Optimal Transport. - Thomas Rupf; Marco Bagatella; Nico Gürtler; Jonas Frey; Georg Martius (CoRR, 2024)

Problem Space Transformations for Generalisation in Behavioural Cloning. - Kiran Doshi; Marco Bagatella; Stelian Coros (CoRR, 2024)

Directed Exploration in Reinforcement Learning from Linear Temporal Logic. - Marco Bagatella; Andreas Krause 001; Georg Martius (Trans. Mach. Learn. Res., 2025)

DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning. - Leander Diaz-Bone; Marco Bagatella; Jonas Hübotter; Andreas Krause 001 (CoRR, 2025)

Test-time Offline Reinforcement Learning on Goal-related Experience. - Marco Bagatella; Mert Albaba; Jonas Hübotter; Georg Martius; Andreas Krause 001 (CoRR, 2025)