Contrastive Initial State Buffer for Reinforcement Learning

Nico Messikommer, Yunlong Song, Davide Scaramuzza

In Reinforcement Learning, the trade-off between exploration and exploitation poses a complex challenge for achieving efficient learning from limited samples. While recent works ha…