Pursuing theoretical and algorithmic advances in decision making under uncertainty

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CDC (2 papers): Wasserstein minimax control of ambiguous linear stochastic systems &  Nonconvex optimization on the Stiefel manifold

CDC (2 papers): Wasserstein minimax control of ambiguous linear stochastic systems & Nonconvex optimization on the Stiefel manifold

The papers "Minimax Control of Ambiguous Linear Stochastic Systems Using the Wasserstein Metric", and "A Stochastic Consensus Method for Nonconvex Optimization on the Stiefel Manifold" have been ...
IROS: Learning-based distributionally robust motion control with Gaussian processes

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 ...
L4DC: Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous-Time

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 ...
ICRA: Wasserstein Distributionally Robust Motion Planning and Control

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 ...
Multi-Objective Predictive Taxi Dispatch via Network Flow Optimization

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 ...
Data-Driven Distributionally Robust Stochastic Control of Energy Storage

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 ...

Research Areas

Stochastic Control and Reinforcement Learning

Safe Autonomy and Risk Management

Cyber-Physical Systems