Reinforcement Learning with Random Time Horizons

Enric Ribera Borrell, Lorenz Richter, Christof Schütte

We extend the standard reinforcement learning framework to random time horizons. While the classical setting typically assumes finite and deterministic or infinite runtimes of traj…