Leveraging randomized smoothing for optimal control of nonsmooth dynamical systems

DOI10.1016/J.NAHS.2024.101468WikidataQ128725247 ScholiaQ128725247MaRDI QIDQ6551655

Justin Carpentier, Ivan Laptev, Quentin Le Lidec, Fabian Schramm, Cordelia Schmid, Louis Montaut

Publication date: 7 June 2024

Published in: Nonlinear Analysis. Hybrid Systems (Search for Journal in Brave)

zbMATH Keywords

optimizationoptimal controlreinforcement learning

Mathematics Subject Classification ID

Numerical analysis (65-XX) Systems theory; control (93-XX)

Cites Work

• Nonsmooth mechanics. Models, dynamics and control.
• Simple statistical gradient-following algorithms for connectionist reinforcement learning
• Random gradient-free minimization of convex functions
• Random optimization
• Stochastic optimization problems with nondifferentiable cost functionals
• Randomized smoothing for stochastic optimization
• Fast Direct Multiple Shooting Algorithms for Optimal Robot Control
• A Robust Gradient Sampling Algorithm for Nonsmooth, Nonconvex Optimization
• A Stochastic Approximation Method
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