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Davide Tateo — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Davide Tateo
14
papers ·
110
citations ·
9
h-index
Technische Universität Darmstadt
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
2024 · 62 citations
MushroomRL: Simplifying Reinforcement Learning Research
2020 · 35 citations
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
2024 · 4 citations
Dimensionality Reduction and Prioritized Exploration for Policy Search
2022 · 1 citations
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction
2022 · 1 citations
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
2023 · 1 citations
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
2024 · 1 citations
Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates
2026
Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts
2020
Time-Efficient Reinforcement Learning with Stochastic Stateful Policies
2023
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications
2024
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning
2024
Top co-authors
Jan Peters
· 11
Puze Liu
· 5
Andrea Bonarini
· 2
Firas Al-Hafez
· 2
Krzysztof Walas
· 2
Marcello Restelli
· 2
Piotr Kicki
· 2
Anish Diwan
· 1
Carlo D'Eramo
· 1
Carlo D’Eramo
· 1
Christopher E. Mower
· 1
Georgia Chalvatzaki
· 1
Topics
Model-Based RL
Policy Gradient
Safe RL
Value-Based
Exploration
Offline RL
Meta-RL
Multi-Agent