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cs.RO2026
Generalizing deep reinforcement learning across cable-driven parallel robot configurations with actuator-level policies
Abir Bouaouda, Mohamed Boutayeb, François Charpillet +2
Cable-driven parallel robots (CDPRs) present diverse configurations and complex control challenges, which can be addressed by deep reinforcement learning (DRL) by learning their no…
cs.RO2026
Gradient based Bilevel for Inverse Optimal Control, a Riemannian approach
Ahmed-Manaf Dahmani, Vincent Bonnet, David Daney +1
Inverse Optimal Control (IOC) aims to recover the cost function that explains observed trajectories as solutions of an optimal control problem. Classical IOC formulations rely on b…