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Martin Feather

2 accepted papers

2024

Recursively-Constrained Partially Observable Markov Decision Processes

UAI 2024poster

Many sequential decision problems involve optimizing one objective function while imposing constraints on other objectives. Constrained Partially Observable Markov Decision Processes (C-POMDP) model this case with transition uncertainty and partial observability. In this work, we first show that C-P…

Cited by 3SourcePDFScholar
2024

Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives

UAI 2024poster

Partially Observable Markov Decision Processes (POMDPs) are powerful models for sequential decision making under transition and observation uncertainties. This paper studies the challenging yet important problem in POMDPs known as the (indefinite-horizon) Maximal Reachability Probability Problem (MR…