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Results tagged with reinforcement-learning
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user 221761
A set of dynamic strategies by which an algorithm can learn the structure of an environment online by adaptively taking actions associated with different rewards so as to maximize the rewards earned.
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How can we program Reinforcement learning without transition probability and rewards?
Is it an available framework? Is it okay that the next states and the rewards (s',r) are different depend on iteration even though the same state and action (s,a)?
Yes and yes. From what you desc …
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