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Online algorithms refer to computations that are performed iteratively, with data arriving during the computation. Online learning are methods which works when the data arrives. For questions focusing on the Internet, please use the "internet" tag.
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How are online reinforcement learning algorithms evaluated?
In online reinforcement learning (RL), we have a behaviour policy. Let this policy be an epsilon-greedy policy. Suppose that I run Q-learning for some episodes and evaluated it by plotting "sum of rew …