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20212026
most citedA relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems

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cs.LG2026

Operator-Theoretic Foundations and Policy Gradient Methods for General MDPs with Unbounded Costs

Abhishek Gupta, Aditya Mahajan

Markov decision processes (MDPs) is viewed as an optimization of an objective function over certain linear operators over general function spaces. A new existence result is establi…