An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay

Scott Fujimoto, David Meger, Doina Precup

Prioritized Experience Replay (PER) is a deep reinforcement learning technique in which agents learn from transitions sampled with non-uniform probability proportionate to their te…