Announcement_5

Our paper Intrinsic Closed-Loop Practical Asymptotic Stability in Discrete-Time Reinforcement Learning has been accepted to RLC 2026! We prove that the unmodified discounted RL objective intrinsically guarantees practical asymptotic stability for continuous control tasks. Read the deep-dive article or PDF.