IROS: Learning-based distributionally robust motion control with Gaussian processes
The paper "Learning-based distributionally robust motion control with Gaussian processes", authored by Astghik Hakobyan, and Insoon Yang, has been accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). This paper emphasizes the importance ...
L4DC: Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous-Time
The paper "Hamilton-Jacobi-Bellman equations for Q-learning in continuous time", authored by Jeongho Kim, and Insoon Yang, has been accepted to the Conference on Learning for Dynamics and Control (L4DC). This paper introduces a novel class of ...
ICRA: Wasserstein Distributionally Robust Motion Planning and Control
The paper "Wasserstein distributionally robust motion planning and control with safety constraints using conditional value-at-risk", authored by Astghik Hakobyan, and Insoon Yang, has been accepted to the IEEE International Conference on Robotics and Automation (ICRA). Even ...
Multi-Objective Predictive Taxi Dispatch via Network Flow Optimization
The paper "Multi-objective predictive taxi dispatch via network flow optimization", authored by Beomjun Kim, Jeongho Kim, Subin Huh, Seungil You, and Insoon Yang, has been accepted to IEEE Access. This work was done in collaboration with ...
Data-Driven Distributionally Robust Stochastic Control of Energy Storage
The paper "Data-driven distributionally robust stochastic control of energy storage for wind power ramp management using the Wasserstein metric", authored by Insoon Yang, has been published in Energies. The proposed storage management solution overcomes the practical ...
