ViSA: Visited-State Augmentation for Generalized Goal-Space Contrastive Reinforcement Learning

Issa Nakamura, Tomoya Yamanokuchi, Yuki Kadokawa +5

Goal-Conditioned Reinforcement Learning (GCRL) is a framework for learning a policy that can reach arbitrarily given goals. In particular, Contrastive Reinforcement Learning (CRL)…