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Found 2 papers, 1 papers with code
An Offline Risk-aware Policy Selection Method for Bayesian Markov Decision Processes
In Offline Model Learning for Planning and in Offline Reinforcement Learning, the limited data set hinders the estimate of the Value function of the relative Markov Decision Process (MDP).
Offline Learning for Planning: A Summary
Offline learning is the area of machine learning concerned with efficiently obtaining an optimal policy with a batch of previously collected experiences without further interaction with the environment.
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