Sotabase

Career

· Intern, Meta2025–
· PhD Student, ETH Zurich, Learning & Adaptive Systems Group2022–
· PhD Student, Max Planck ETH Center for Learning Systems2022–
· MS in Computer Science, ETH Zurich2019–2021
· Intern, AIT Lab, ETH Zurich
· Research Intern, Autonomous Learning Group, MPI IS Tübingen
· BSc in Engineering of Computing Systems, Politecnico di Milano

Publications (18)

SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning
Trans. Mach. Learn. Res. · 2022
6
cited
DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
arXiv.org · 2025
5
cited
Efficient Learning of High Level Plans from Play
IEEE International Conference on Robotics and Automation · 2023
4
cited
CKD GENERAL AND CLINICAL EPIDEMIOLOGY 2
2014
1
cited
Active Fine-Tuning of Multi-Task Policies
2024
Causal Action Influence Aware Counterfactual Data Augmentation
2024
Directed Exploration in Reinforcement Learning from Linear Temporal Logic
2024
Goal-conditioned Offline Planning from Curious Exploration
2023
Modelling Microbial Communities with Graph Neural Networks
2024
Optimistic Task Inference for Behavior Foundation Models
2025
Planning from Pixels in Environments with Combinatorially Hard Search Spaces
2021
Problem Space Transformations for Out-of-Distribution Generalisation in Behavioural Cloning
2024
Reinforcement Learning via Self-Distillation
2026
Soft Forward-Backward Representations for Zero-shot Reinforcement Learning with General Utilities
2026
TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning
2025
TempoRL: Temporal Priors for Exploration in Off-Policy Reinforcement Learning
arXiv.org · 2022
Test-time Offline Reinforcement Learning on Goal-related Experience
2025
Zero-Shot Offline Imitation Learning via Optimal Transport
2024
Sotabase
M. Bagatella* | Researcher Profile | Sotabase | Sotabase