POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning

Frederik Schubert, Carolin Benjamins, Sebastian Döhler +2

The goal of Unsupervised Reinforcement Learning (URL) is to find a reward-agnostic prior policy on a task domain, such that the sample-efficiency on supervised downstream tasks is…