Webb19 feb. 2024 · Our theoretical results hold under the conditions that the offline data covers the test policy's traces and the supervised learning MLE procedures succeed. … Webb10 juni 2024 · We used offline policy evaluation (OPE) methods to do this and wrote about it in our paper Horizon: Facebook’s Open Source Applied Reinforcement Learning …

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Stateful Offline Contextual Policy Evaluation and Learning

WebbStateful Offline Contextual Policy Evaluation and Learning Nathan Kallus Cornell University and Cornell Tech [email protected] Angela Zhou* UC Berkeley [email protected] Abstract We study off-policy evaluation and learning from sequential data in a struc-tured class of Markov decision processes that arise from repeated … WebbOnline scenario: policy evaluation with an incrementally trained VW policy, cb-format data¶ In the online scenario, when you deploy a new policy behind e.g. a REST … WebbIn the offline RL setting, the goal is to perform RL tasks using existing data,D, generated by some logging policy, µ, and MDP M. In Offline Policy Evaluation (OPE), we seek to estimate the value of a target policy πunder M. In Offline Learning (OL), the goal is to useDto find a good policy π∈Π where Π is some policy class. goochland county tax assessment