IEEE

Lightweight Reinforcement Learning with State Abstraction for Dynamic Spectrum Anti-Jamming Communications

Abstract: This paper studies the anti-jamming channel selection problem in the unmanned aerial vehicle (UAV) communication scenario using machine learning. Recently, deep reinforcement learning (DRL) ...
IEEE

Adversarial Scenario Generation Integrated Distributionally Robust Deep Reinforcement Learning for Survival of Critical Loads

Abstract: Topology reconfiguration (TR) is an efficient resilient defense action to ensure the survival of critical loads (CLs) during sequential extreme events (SEEs). While deep reinforcement ...