Stochastic Decision Horizons for Survival-Based Constrained Reinforcement Learning

Nikola Milosevic, Leonard Franz, Daniel Haeufle +3

We propose stochastic decision horizons (SDH), a theoretically grounded framework for survival-based constrained reinforcement learning from per-step violation signals. Rather than…