2 papers
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.RO2026
Resource-Constrained Robotic Planning in the face of Mixed Uncertainty
Yihao Yin, Pian Yu, Andrea Turrini +3
Robots operate under significant uncertainty, from quantifiable noise to unquantifiable unknowns, and must account for strict operational constraints, such as limited resources. In…