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The implementation of prioritized experience replay is a bit wrong. To smaple a minibatch of size k, the range [0, p_total] is divided equally into k ranges. Next, a value is uniformly sampled from each range. Finally the transitions that correspond to each of these sampled values are retrieved from the tree.
Refer to the paper Prioritized Experience Replay. See Appendix B.2.1 for more details