Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning

no code implementations • 5 Jul 2019 • Srinivas Venkattaramanujam, Eric Crawford, Thang Doan, Doina Precup

Goal-conditioned policies are used in order to break down complex reinforcement learning (RL) problems by using subgoals, which can be defined either in state space or in a latent feature space.

reinforcement-learning Reinforcement Learning (RL) +1