The paper proposes Maturing Markov Decision Processes (MMDPs) built on information-action asymmetry, an expiring-action priority principle, and a structure-aware RL framework, with experiments showing efficiency gains on replenishment, cash management, and production tasks.
Partially observable markov decision processes
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Maturing Markov Decision Processes: Decision Making under Increasing Information and Shrinking Action Sets
The paper proposes Maturing Markov Decision Processes (MMDPs) built on information-action asymmetry, an expiring-action priority principle, and a structure-aware RL framework, with experiments showing efficiency gains on replenishment, cash management, and production tasks.