Goal-conditioned Offline Reinforcement Learning through State Space Partitioning

Mianchu Wang, Yue Jin, Giovanni Montana

Offline reinforcement learning (RL) aims to infer sequential decision policies using only offline datasets. This is a particularly difficult setup, especially when learning to achi…