activity
20232026
most citedAct-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring

1 citations · 2 across the 4 of their papers we have counts for

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cs.LG2026

Perception-Based Beliefs for POMDPs with Visual Observations

Miriam Schäfers, Merlijn Krale, Thiago D. Simão +2

Partially observable Markov decision processes (POMDPs) are a principled planning model for sequential decision-making under uncertainty. Yet, real-world problems with high-dimensi…

cs.LG2023★ 1 cited

Robust Active Measuring under Model Uncertainty

Merlijn Krale, Thiago D. Simão, Jana Tumova +1

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).…