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Algorithms & Theory

31 published articlesPart of Computing & Robotics

Latest in Algorithms & Theory

Computing & RoboticsAlgorithms & TheoryPreprint

Preprint Extends Path Abstraction to Expected Rewards in Finite Markov Models

A methods paper extends path abstraction from reachability probabilities to expected rewards in finite Markov reward models. It shows that the abstraction remains a Markov reward model, behaves consistently across nested state sets, and can be computed using a linear-equation recipe with a high-level PARI/GP reference implementation.

Scientific publication3 min read