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Jean-Baptiste Bouvier

2 accepted papers

2025

DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories

RSS 2025poster

Diffusion models excel at creating images and videos thanks to their multimodal generative capabilities, which have also attracted the interest of roboticists for trajectory planning and policy learning. However, the stochastic nature of diffusion models is fundamentally at odds with the precise dyn…

Cited by 1PDFScholar
2024

POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints

RSS 2024poster

In this paper, we seek to learn a robot policy guaranteed to satisfy state constraints. To encourage constraint satisfaction, existing RL algorithms typically rely on Constrained Markov Decision Processes and discourage constraint violations through reward shaping. However, such soft constraints can…

Cited by 7SourcePDFScholar