Preprint
Oct 2026
Hamiltonian Primal-Dual Policy Reinforcement Learning for Derivative-Free Model-Based Control
The results show that forward simulation and Hamiltonian dual structure can be combined to solve deterministic finite-horizon control problems involving nonsmooth, learned, or black-box dynamics.
K. Rabiei, Z. Rui, X. Lu et al.
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