General Flexible $f$-divergence for Challenging Offline RL Datasets with Low Stochasticity and Diverse Behavior Policies

Jianxun Wang, Grant C. Forbes, Leonardo Villalobos-Arias +1

Offline RL algorithms aim to improve upon the behavior policy that produces the collected data while constraining the learned policy to be within the support of the dataset. Howeve…