Davide Tateo
11 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π Conference Polyglot (6) π Academic Marathon (5) π§ Keyword Pioneer
πΊοΈ
Taxonomy Completionist
(13)
π€
Dynamic Duo
(11)
π₯
Mega-Team
(22)
π₯
Unstoppable
(6)
π
Century Club
(11)
β‘
Prolific Year
(5)
Conferences
CORL (4)
ICLR (3)
AISTATS (1)
JMLR (1)
NIPS (1)
RSS (1)
Top co-authors
Research topics
Keywords
deep reinforcement learning
(1)
dimensionality reduction
(1)
sim-to-real transfer
(1)
black-box optimization
(1)
knowledge distillation
(1)
model predictive control
(1)
robot learning
(1)
policy search
(1)
trajectory optimization
(1)
constraint satisfaction
(1)
relative entropy policy search
(1)
stochastic optimal control
(1)
algorithm implementation
(1)
safe exploration
(1)
safe learning
(1)
robotics benchmark
(1)
contact planning
(1)
prioritized exploration
(1)
real-world deployment
(1)
robotics constraint
(1)
Papers
Distilling Contact Planning for Fast Trajectory Optimization in Robot Air Hockey
RSS 2025
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning
CORL 2024
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
CORL 2024
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
CORL 2024
A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
NIPS 2024
Time-Efficient Reinforcement Learning with Stochastic Stateful Policies
ICLR 2024
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
ICLR 2023
Dimensionality Reduction and Prioritized Exploration for Policy Search
AISTATS 2022
Robot Reinforcement Learning on the Constraint Manifold
CORL 2021
MushroomRL: Simplifying Reinforcement Learning Research
JMLR 2021
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
ICLR 2020