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Merlijn Krale

2 accepted papers

2025

On Evaluating Policies for Robust POMDPs

NeurIPS 2025poster

Robust partially observable Markov decision processes (RPOMDPs) model sequential decision-making problems under partial observability, where an agent must be robust against a range of dynamics. RPOMDPs can be viewed as a two-player game between an agent, who selects actions, and nature, who adversar…

Cited by 0SourceScholar
2024

Robust Active Measuring under Model Uncertainty

AAAI 2024technical

Partial observability and uncertainty are common problems in sequential decision-making that particularly impede the use of formal models such as Markov decision processes (MDPs). However, in practice, agents may be able to employ costly sensors to measure their environment and resolve partial obser…