For a complete and up-to-date list, please visit my google scholar.
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 Trans. Robotics, 2025
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Model Tensor Planning
An Thai Le, Khai Nguyen, Minh Nhat Vu, João Carvalho, and Jan Peters
Trans. Mach. Learn. Res., 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 Robotics Autom. Lett., 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
CoRR, 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
CoRR, 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
In IEEE/RSJ International Conference on Intelligent Robots and Systems 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
In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 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
In 21st IEEE-RAS International Conference on Humanoid Robots, Humanoids 2022, Ginowan, Japan, November 28-30, 2022, 2022
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Conditioned Score-Based Models for Learning Collision-Free Trajectory Generation
João Carvalho, Mark Baierl, Julen Urain, and Jan Peters
In NeurIPS 2022 Workshop on Score-Based Methods, 2022
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Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient
Samuele Tosatto, João Carvalho, and Jan Peters
IEEE Trans. Pattern Anal. Mach. Intell., 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
In International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 2021
2020
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A Nonparametric Off-Policy Policy Gradient
Samuele Tosatto, João Carvalho, Hany Abdulsamad, and Jan Peters
In The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy], 2020
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement LearningIn The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023
Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement LearningIn 21st IEEE-RAS International Conference on Humanoid Robots, Humanoids 2022, Ginowan, Japan, November 28-30, 2022, 2022
Conditioned Score-Based Models for Learning Collision-Free Trajectory GenerationIn NeurIPS 2022 Workshop on Score-Based Methods, 2022
