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eess.SY2025
Probabilistic Safety Guarantee for Stochastic Control Systems Using Average Reward MDPs
Saber Omidi, Marek Petrik, Se Young Yoon +1
Safety in stochastic control systems, which are subject to random noise with a known probability distribution, aims to compute policies that satisfy predefined operational constrai…
cs.GT2025
Convergence of Fast Policy Iteration in Markov Games and Robust MDPs
Keith Badger, Jefferson Huang, Marek Petrik
Markov games and robust MDPs are closely related models that involve computing a pair of saddle point policies. As part of the long-standing effort to develop efficient algorithms…