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Marco Bagatella — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Marco Bagatella
11
papers ·
0
citations ·
1
h-index
Board of the Swiss Federal Institutes of Technology · ETH Zurich
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Reinforcement Learning via Self-Distillation
2026
Soft Forward-Backward Representations for Zero-shot Reinforcement Learning with General Utilities
2026
Optimistic Task Inference for Behavior Foundation Models
2025
DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
2025
SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning
2022
Efficient Learning of High Level Plans from Play
2023
Goal-conditioned Offline Planning from Curious Exploration
2023
Directed Exploration in Reinforcement Learning from Linear Temporal Logic
2024
Top co-authors
Andreas Krause
· 3
Georg Martius
· 3
Jonas H\"ubotter
· 2
Otmar Hilliges
· 2
Thomas Rupf
· 2
Andreas Krause
· 1
Andreas Krause
· 1
Anton Baumann
· 1
Carlos Guestrin
· 1
Daniel Marta
· 1
Frederike L\"ubeck
· 1
Georg Martius
· 1
Topics
Exploration
Model-Based RL
Meta-RL
Offline RL
Policy Gradient
RLHF & Alignment