Davide Tateo
11 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Mega-Team · Squad
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Dynamic Duo
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Research topics
Reinforcement Learning
(10)
Artificial Intelligence
(9)
Core AI
(9)
Applications
(6)
Methods
(6)
Machine Learning
(4)
Robotics
(3)
Deep Learning
(2)
Capabilities
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Application Areas
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
safe reinforcement learning
(2)
reinforcement learning
(2)
imitation learning
(2)
representation learning
(1)
multi-task learning
(1)
model predictive control
(1)
sample efficiency
(1)
black-box optimization
(1)
transfer learning
(1)
policy gradient
(1)
knowledge distillation
(1)
policy learning
(1)
policy search
(1)
inverse reinforcement learning
(1)
robot learning
(1)
sim-to-real transfer
(1)
value iteration
(1)
trajectory optimization
(1)
continuous control
(1)
dimensionality reduction
(1)
Papers
Distilling Contact Planning for Fast Trajectory Optimization in Robot Air Hockey
RSS 2025
A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
NeurIPS 2024
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning
CoRL 2024
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
CoRL 2024
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
CoRL 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
MushroomRL: Simplifying Reinforcement Learning Research
JMLR 2021
Robot Reinforcement Learning on the Constraint Manifold
CoRL 2021
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
ICLR 2020