Marco Bagatella

According to our database, Marco Bagatella authored at least 19 papers between 2021 and 2026.

Collaborative distances:

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

2026

Majority Voting for Code Generation.

Tim Launer, Jonas Hübotter, Marco Bagatella, Ido Hakimi, Andreas Krause

CoRR, April, 2026

Soft Forward-Backward Representations for Zero-shot Reinforcement Learning with General Utilities.

Marco Bagatella, Thomas Rupf, Georg Martius, Andreas Krause

CoRR, February, 2026

Reinforcement Learning via Self-Distillation.

Jonas Hübotter, Frederike Lübeck, Lejs Behric, Anton Baumann, Marco Bagatella, Daniel Marta, Ido Hakimi, Idan Shenfeld, Thomas Kleine Buening, Carlos Guestrin, Andreas Krause

CoRR, January, 2026

2025

Optimistic Task Inference for Behavior Foundation Models.

Thomas Rupf, Marco Bagatella, Marin Vlastelica, Andreas Krause

CoRR, October, 2025

TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning.

Marco Bagatella, Matteo Pirotta, Ahmed Touati, Alessandro Lazaric, Andrea Tirinzoni

CoRR, October, 2025

Test-time Offline Reinforcement Learning on Goal-related Experience.

Marco Bagatella, Mert Albaba, Jonas Hübotter, Georg Martius, Andreas Krause

CoRR, July, 2025

DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning.

Leander Diaz-Bone, Marco Bagatella, Jonas Hübotter, Andreas Krause

CoRR, May, 2025

Directed Exploration in Reinforcement Learning from Linear Temporal Logic.

Marco Bagatella, Andreas Krause, Georg Martius

Trans. Mach. Learn. Res., 2025

Zero-Shot Offline Imitation Learning via Optimal Transport.

Thomas Rupf, Marco Bagatella, Nico Gürtler, Jonas Frey, Georg Martius

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Active Fine-Tuning of Multi-Task Policies.

Marco Bagatella, Jonas Hübotter, Georg Martius, Andreas Krause

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Problem Space Transformations for Generalisation in Behavioural Cloning.

Kiran Doshi, Marco Bagatella, Stelian Coros

CoRR, 2024

Active Fine-Tuning of Generalist Policies.

Marco Bagatella, Jonas Hübotter, Georg Martius, Andreas Krause

CoRR, 2024

Causal Action Influence Aware Counterfactual Data Augmentation.

Núria Armengol Urpí, Marco Bagatella, Marin Vlastelica, Georg Martius

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Modelling Microbial Communities with Graph Neural Networks.

Albane Ruaud, Cansu Sancaktar, Marco Bagatella, Christoph Ratzke, Georg Martius

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Goal-conditioned Offline Planning from Curious Exploration.

Marco Bagatella, Georg Martius

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Learning of High Level Plans from Play.

Núria Armengol Urpí, Marco Bagatella, Otmar Hilliges, Georg Martius, Stelian Coros

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning.

Marco Bagatella, Sammy Joe Christen, Otmar Hilliges

Trans. Mach. Learn. Res., 2022

TempoRL: Temporal Priors for Exploration in Off-Policy Reinforcement Learning.

Marco Bagatella, Sammy Joe Christen, Otmar Hilliges

CoRR, 2022

2021

Planning from Pixels in Environments with Combinatorially Hard Search Spaces.

Marco Bagatella, Miroslav Olsák, Michal Rolínek, Georg Martius

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021