Stochastic Decision Horizons for Constrained Reinforcement Learning

Nikola Milosevic, Leonard Franz, Daniel Haeufle +3

We propose stochastic decision horizons (SDH), a theoretically grounded framework for solving constrained RL problems with every-step constraint satisfaction, a desirable property…