Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets

Miroslav Štrupl, Francesco Faccio, Dylan R. Ashley +2

Upside-Down Reinforcement Learning (UDRL) is an approach for solving RL problems that does not require value functions and uses only supervised learning, where the targets for give…