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Results tagged with off-policy-methods
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user 21511
For questions related to off-policy reinforcement learning algorithms, which estimate a policy (the target policy) while using another policy (the behavior policy), during the learning process, which ensures that all states are sufficiently explored. An example of an off-policy algorithm is Q-learning.
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Understanding the n-step off-policy SARSA update
This problem bothered me as well and I don't think the answer by Philip Raeisghasem above is satisfactory. Reducing variance is a desired property but one also has to show that the final result is cor …
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