Davide Tateo

Orcid: 0000-0002-7193-923X

Affiliations:

TU Darmstadt, Germany

According to our database¹, Davide Tateo authored at least 39 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Safe and Efficient Path Planning Under Uncertainty via Deep Collision Probability Fields.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., November, 2024

Fast Kinodynamic Planning on the Constraint Manifold With Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2024

A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics.

[BibT_eX]

[DOI]

CoRR, 2024

Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion.

[BibT_eX]

[DOI]

Nico Bohlinger

Grzegorz Czechmanowski

CoRR, 2024

Adaptive Control based Friction Estimation for Tracking Control of Robot Manipulators.

[BibT_eX]

[DOI]

CoRR, 2024

Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Energy-based Contact Planning under Uncertainty for Robot Air Hockey.

[BibT_eX]

[DOI]

CoRR, 2024

ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications.

[BibT_eX]

[DOI]

CoRR, 2024

A Holistic Concept on AI Assistance for Robot-Supported Reconnaissance and Mitigation of Acute Radiation Hazard Situations.

[BibT_eX]

[DOI]

Ivana Kruijff-Korbayová

Proceedings of the IEEE International Symposium on Safety Security Rescue Robotics, 2024

Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Time-Efficient Reinforcement Learning with Stochastic Stateful Policies.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

2023

Learning-Based Design and Control for Quadrupedal Robots With Parallel-Elastic Actuators.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., March, 2023

Towards Transferring Tactile-based Continuous Force Control Policies from Simulation to Robot.

[BibT_eX]

[DOI]

CoRR, 2023

LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion.

[BibT_eX]

[DOI]

CoRR, 2023

Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning Stable Vector Fields on Lie Groups.

[BibT_eX]

[DOI]

Julen Urain

Davide Tateo

Jan Peters

IEEE Robotics Autom. Lett., 2022

Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts.

[BibT_eX]

[DOI]

Riad Akrour

Davide Tateo

Jan Peters

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Object Structural Points Representation for Graph-based Semantic Monocular Localization and Mapping.

[BibT_eX]

[DOI]

CoRR, 2022

Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning.

[BibT_eX]

[DOI]

Algorithms, 2022

Regularized Deep Signed Distance Fields for Reactive Motion Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Dimensionality Reduction and Prioritized Exploration for Policy Search.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

MushroomRL: Simplifying Reinforcement Learning Research.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Efficient and Reactive Planning for High Speed Robot Air Hockey.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Robot Reinforcement Learning on the Constraint Manifold.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems.

[BibT_eX]

[DOI]

CoRR, 2020

Reinforcement Learning from a Mixture of Interpretable Experts.

[BibT_eX]

[DOI]

Riad Akrour

Davide Tateo

Jan Peters

CoRR, 2020

ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Sharing Knowledge in Multi-Task Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Building structured hierarchical agents.

[BibT_eX]

[DOI]

Davide Tateo

PhD thesis, 2019

Graph-Based Design of Hierarchical Reinforcement Learning Agents.

[BibT_eX]

[DOI]

Davide Tateo

Idil Su Erdenlig

Andrea Bonarini

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

A Sampling-Based Algorithm for Planning Smooth Nonholonomic Paths.

[BibT_eX]

[DOI]

Proceedings of the 2019 European Conference on Mobile Robots, 2019

2018

Multiagent Connected Path Planning: PSPACE-Completeness and How to Deal With It.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Gradient-based minimization for multi-expert Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Exploiting structure and uncertainty of Bellman updates in Markov decision processes.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Davide Tateo

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...