Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring

Merlijn Krale, Thiago D. Simão, Nils Jansen

We study Markov decision processes (MDPs), where agents have direct control over when and how they gather information, as formalized by action-contingent noiselessly observable MDP…