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Marco Bagatella
Observed name:
Bagatella, Marco
Institutions:
ETH Zurich,
Max Planck Institute for Intelligent Systems
Observed institutions:
Max Planck Society,
ETH Zurich,
Max Planck Institute for Intelligent Systems
OpenAlex ID:
A5067784194
Planning from Pixels in Environments with Combinatorially Hard Search Spaces
2021
·
Bagatella, Marco
, Olšák, Mirek
, et al.
·
arXiv (Cornell University)
·
4
PDF
Occupancy Modeling via Drifting: One-Step Generation Enables Direct Policy Extraction
2026
·
Uhrich, Robin
, Bagatella, Marco
, et al.
·
arXiv (Cornell University)
PDF
World Modeling through Spectral Alignment
2026
·
Molin, Holger
, Peng, William
, et al.
·
arXiv (Cornell University)
PDF
Deep Epistemic Value Functions for Optimistic Exploration
2026
·
Diaz-Bone, Leander
, Bagatella, Marco
, et al.
·
arXiv (Cornell University)
PDF
Three Steps at a Time: Learning Representations from Action Sequences in Contrastive RL
2026
·
Korniak, Michal
, Dybek, Kamil
, et al.
·
arXiv (Cornell University)
PDF
Uncertainty Quantification for Flow-Based Generalist Robot Policies
2026
·
Römer, Ralf
, Seeliger, Maximilian
, et al.
·
arXiv (Cornell University)
PDF
Majority Voting for Code Generation
2026
·
Launer, Tim
, Hübotter, Jonas
, et al.
·
arXiv (Cornell University)
PDF
Soft Forward-Backward Representations for Zero-shot Reinforcement Learning with General Utilities
2026
·
Bagatella, Marco
, Rupf, Thomas
, et al.
·
arXiv (Cornell University)
PDF
Reinforcement Learning via Self-Distillation
2026
·
Hübotter, Jonas
, Lübeck, Frederike
, et al.
·
arXiv (Cornell University)
PDF
Optimistic Task Inference for Behavior Foundation Models
2025
·
Rupf, Thomas
, Bagatella, Marco
, et al.
·
arXiv (Cornell University)
PDF
Test-time Offline Reinforcement Learning on Goal-related Experience
2025
·
Bagatella, Marco
, Albaba, Mert
, et al.
·
arXiv (Cornell University)
PDF
DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
2025
·
Leander Diaz-Bone
, Marco Bagatella
, et al.
·
neural information processing systems
PDF
Problem Space Transformations for Out-of-Distribution Generalisation in Behavioural Cloning
2024
·
Doshi, Kiran
, Bagatella, Marco
, et al.
·
arXiv (Cornell University)
PDF
Zero-Shot Offline Imitation Learning via Optimal Transport
2024
·
Rupf, Thomas
, Bagatella, Marco
, et al.
·
arXiv (Cornell University)
PDF
Active Fine-Tuning of Multi-Task Policies
2024
·
Bagatella, Marco
, Hübotter, Jonas
, et al.
·
arXiv (Cornell University)
PDF
Directed Exploration in Reinforcement Learning from Linear Temporal Logic
2024
·
Bagatella, Marco
, Krause, Andreas
, et al.
·
arXiv (Cornell University)
PDF
Causal Action Influence Aware Counterfactual Data Augmentation
2024
·
Urpí, Núria Armengol
, Bagatella, Marco
, et al.
·
arXiv (Cornell University)
PDF
Efficient Learning of High Level Plans from Play
2023
·
Núria Armengol Urpí
, Marco Bagatella
, et al.
·
Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
PDF
Goal-conditioned Offline Planning from Curious Exploration
2023
·
Marco Bagatella
, Georg Martius
·
neural information processing systems
PDF
TempoRL: Temporal Priors for Exploration in Off-Policy Reinforcement Learning
2021
·
Bagatella, Marco
·
Repository for Publications and Research Data (ETH Zurich)
PDF
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Works count:
22
Citation count:
4
H-index:
1
I10-index:
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