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cs.AI2026
PAC Approximation and DIRECT Optimization for Parametric Markov Models
Zhiming Chi, Ying Liu, Andrea Turrini +2
In this paper, we consider the parameter synthesis and optimization problem for parametric Markov decision processes (pMDPs), the extension of classical MDPs where exact probabilit…
cs.AI2023★ 1 cited
Incremental Satisfiability Modulo Theory for Verification of Deep Neural Networks
Pengfei Yang, Zhiming Chi, Zongxin Liu +4
Constraint solving is an elementary way for verification of deep neural networks (DNN). In the domain of AI safety, a DNN might be modified in its structure and parameters for its…