Option-Based Deep Reinforcement Learning for Topology Control of Power Systems

Koopman-Based Control System for Quadrotors in Noisy Environments

Deep Reinforcement Learning-Based Active Network Management and Emergency Load-Shedding Control for Power Systems

Infinity-Norm-Based Worst-Case Collision Avoidance Control for Quadrotors

Partially-observed decentralized optimal control for large population two-wheeled vehicles: A differential game approach

Leader-follower decentralized optimal control for large population hexarotors with tilted propellers: A Stackelberg game approach

딥러닝 기반 전기 자동차 급속 충전기용 DAB의 최적 MOSFET 소자 선정 방안

최대 노름 최소화 기반 단일정책 다중목적 강화학습 연구

Deep reinforcement learning-based model-free path planning and collision avoidance for UAVs: A soft actor？critic with hindsight experience replay approach

Backward Reachability Analysis for Nonlinear Dynamical Systems via Pseudospectral Method