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Highlights 2020

Multi-Objective Reachability for context-free MDPs

Conference Abstract Session 5B: ARITHMETIC & PROBABILITIES Logic in Computer Science · Theoretical Computer Science

Abstract

We study qualitative multi-objective reachability problems for context-free MDPs, or equivalently Ordered Branching Markov Decision Processes (OBMDPs), building on prior results on single-target reachability for Branching Markov Decision Processes (BMDPs). We provide two separate algorithms for “almost-sure” and “limit-sure” multi-target reachability for OBMDPs.

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Context

Venue
Highlights of Logic, Games and Automata
Archive span
2013-2025
Indexed papers
1236
Paper id
962877181125612063