2023
Prioritizing Samples in Reinforcement Learning with Reducible Loss
NeurIPS 2023poster
Most reinforcement learning algorithms take advantage of an experience replay buffer to repeatedly train on samples the agent has observed in the past. Not all samples carry the same amount of significance and simply assigning equal importance to each of the samples is a naïve strategy. In this pape…