math.OC · 2026-06-12 · No. 21

Optimization and Control, 2026-06-12.

1 new papers in math.OC. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Distribution-Agnostic Robust Trajectory Optimization via Chance-Constrained Reinforcement Learning

    Yashdeep Chaudhary, Roberto Armellin, Harry Holt, Marco Sagliano

    math.OC · cs.LG · eess.SY

    This paper presents a distribution-agnostic robust trajectory-optimization framework based on chance-constrained reinforcement learning. The uncertainty is represented here through initial conditions and process noise, with the only requirement being that it can be sampled. A deterministic nominal trajectory is first computed offline, and reinforcement learning is then used only to robustify that baseline through a structured affine...

    arxiv.org/abs/2606.13605 · PDF

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