$f$-Policy Gradients: A General Framework for Goal Conditioned RL using $f$-Divergences

Siddhant Agarwal, Ishan Durugkar, Peter Stone +1

Goal-Conditioned Reinforcement Learning (RL) problems often have access to sparse rewards where the agent receives a reward signal only when it has achieved the goal, making policy…