Please visit Google Scholar for a complete list.
2025
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Motion Planning Diffusion: Learning and Adapting Robot Motion Planning With Diffusion Models
João Carvalho, An T. Le, Piotr Kicki, Dorothea Koert, and Jan Peters
IEEE T-RO, 2025
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Model Tensor Planning
An Thai Le, Khai Nguyen, Minh Nhat Vu, João Carvalho, and Jan Peters
TMLR, 2025
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Global Tensor Motion Planning
An T. Le, Kay Pompetzki, João Carvalho, Joe Watson, Julen Urain, and 3 more authors
IEEE RA-L, 2025
2024
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Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3
João Carvalho, An T. Le, Philipp Jahr, Qiao Sun, Julen Urain, and 2 more authors
arXiv, 2024
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ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching
Niklas Funk, Julen Urain, Joao Carvalho, Vignesh Prasad, Georgia Chalvatzaki, and 1 more author
arXiv, 2024
2023
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Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
João Carvalho, An T. Le, Mark Baierl, Dorothea Koert, and Jan Peters
IROS, 2023
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Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
Daniel Palenicek, Michael Lutter, Joao Carvalho, and Jan Peters
ICLR, 2023
2022
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Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning
João Carvalho, Dorothea Koert, Marek Daniv, and Jan Peters
Humanoids, 2022
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Conditioned Score-Based Models for Learning Collision-Free Trajectory Generation
João Carvalho, Mark Baierl, Julen Urain, and Jan Peters
NeurIPS Workshop SBM, 2022
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Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient
Samuele Tosatto, João Carvalho, and Jan Peters
IEEE TPAMI, 2022
2021
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An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients
João Carvalho, Davide Tateo, Fabio Muratore, and Jan Peters
IJCNN, 2021
2020
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A Nonparametric Off-Policy Policy Gradient
Samuele Tosatto, João Carvalho, Hany Abdulsamad, and Jan Peters
AISTATS, 2020
Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement LearningHumanoids, 2022
Conditioned Score-Based Models for Learning Collision-Free Trajectory GenerationNeurIPS Workshop SBM, 2022
