A reformulation of joint chance constrained optimal control that minimizes expected cost solely over safe trajectories, solved via constrained MDP and dynamic programming with derived safety bounds under state-space gridding.
Operator splitting for convex constrained Markov decision processes,
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Joint Chance Constrained Safe-Optimal Control
A reformulation of joint chance constrained optimal control that minimizes expected cost solely over safe trajectories, solved via constrained MDP and dynamic programming with derived safety bounds under state-space gridding.