2 papers
cs.LO2025
The Value Problem for Multiple-Environment MDPs with Parity Objective
Krishnendu Chatterjee, Laurent Doyen, Jean-François Raskin +1
We consider multiple-environment Markov decision processes (MEMDP), which consist of a finite set of MDPs over the same state space, representing different scenarios of transition…
cs.LO2025
Multiplicative Rewards in Markovian Models
Christel Baier, Krishnendu Chatterjee, Tobias Meggendorfer +1
This paper studies the expected value of multiplicative rewards, where rewards obtained in each step are multiplied (instead of the usual addition), in Markov chains (MCs) and Mark…