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math.OC2026
Theoretical and Computational Advances in Birkhoff Pseudospectral Transcription for Aerospace Optimal Control
Riccardo Minnozzi, Marco Sagliano
Birkhoff pseudospectral methods replace the differentiation matrices of classical transcriptions with integration operators whose conditioning does not deteriorate with polynomial…
math.OC2026
Distribution-Agnostic Robust Trajectory Optimization via Chance-Constrained Reinforcement Learning
Yashdeep Chaudhary, Roberto Armellin, Harry Holt +1
This paper presents a distribution-agnostic robust trajectory-optimization framework based on chance-constrained reinforcement learning. The uncertainty is represented here through…