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Davide Tateo
Davide Tateo
Postdoctoral Researcher at Technische Universität Darmstadt
Verified email at ias.informatik.tu-darmstadt.de - Homepage
Title
Cited by
Cited by
Year
Sharing knowledge in multi-task deep reinforcement learning
C D'Eramo, D Tateo, A Bonarini, M Restelli, J Peters
International Conference on Learning Representations, 2019
472019
Mushroomrl: Simplifying reinforcement learning research
C D'Eramo, D Tateo, A Bonarini, M Restelli, J Peters
Journal of Machine Learning Research 22 (131), 1-5, 2021
242021
Multiagent Connected Path Planning: PSPACE-Completeness and How to Deal with It
D Tateo, J Banfi, A Riva, F Amigoni, A Bonarini
Thirty-Second AAAI Conference on Artificial Intelligence (AAAI2018), 4735-4742, 2018
182018
Gradient-based minimization for multi-expert inverse reinforcement learning
D Tateo, M Pirotta, M Restelli, A Bonarini
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
122017
ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows
J Urain, M Ginesi, D Tateo, J Peters
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
102020
Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning
S Parisi, D Tateo, M Hensel, C D’eramo, J Peters, J Pajarinen
Algorithms 15 (3), 81, 2022
32022
Robot Reinforcement Learning on the Constraint Manifold
P Liu, D Tateo, HB Ammar, J Peters
Conference on Robot Learning, 1357-1366, 2022
32022
Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts
R Akrour, D Tateo, J Peters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
3*2021
An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients
J Carvalho, D Tateo, F Muratore, J Peters
2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021
32021
Towards Reinforcement Learning of Human Readable Policies
R Akrour, D Tateo, J Peters
ECML/PKDD Workshop on Deep Continuous-Discrete Machine Learning, 2019
22019
Exploiting structure and uncertainty of Bellman updates in Markov decision processes
D Tateo, C D'Eramo, A Nuara, M Restelli, A Bonarini
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
22017
Efficient and Reactive Planning for High Speed Robot Air Hockey
P Liu, D Tateo, H Bou-Ammar, J Peters
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
12021
A sampling-based algorithm for planning smooth nonholonomic paths
C Beretta, C Brizzolari, D Tateo, A Riva, F Amigoni
2019 European Conference on Mobile Robots (ECMR), 1-7, 2019
12019
Graph-Based Design of Hierarchical Reinforcement Learning Agents
D Tateo, IS Erdenlig, A Bonarini
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
12019
Dimensionality Reduction and Prioritized Exploration for Policy Search
M Memmel, P Liu, D Tateo, J Peters
International Conference on Artificial Intelligence and Statistics, 2134-2157, 2022
2022
Regularized Deep Signed Distance Fields for Reactive Motion Generation
P Liu, K Zhang, D Tateo, S Jauhri, J Peters, G Chalvatzaki
arXiv preprint arXiv:2203.04739, 2022
2022
Learning Stable Vector Fields on Lie Groups
J Urain, D Tateo, J Peters
arXiv preprint arXiv:2110.11774, 2021
2021
Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems
J Urain, D Tateo, T Ren, J Peters
arXiv preprint arXiv:2012.06224, 2020
2020
Building structured hierarchical agents
D Tateo
Politecnico Di Milano, 2019
2019
Cognitive SLAM: knowledge-based simultaneous localization and mapping
D Tateo
Politecnico Di Milano, 2014
2014
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Articles 1–20