July 25, 2020
A3DQN
A3DQN: Adaptive Anderson acceleration for deep Q-networks Melike Ermis, and Insoon Yang Proceedings of the…
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July 16, 2020
CDC2020_2
Minimax control of ambiguous linear stochastic systems using the Wasserstein metric Kihyun Kim, and Insoon…
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July 16, 2020
CDC2020_1
A stochastic consensus method for nonconvex optimization on the Stiefel manifold Jeongho Kim, Myeongju Kang,…
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July 16, 2020
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…
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July 7, 2020
IROS2020
Learning-based distributionally robust motion control with Gaussian processes Astghik Hakobyan, and Insoon Yang Proceedings of…
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July 7, 2020
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…
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March 10, 2020
HJB
Hamilton-Jacobi-Bellman equations for Q-learning in continuous time Jeongho Kim, and Insoon Yang Proceedings of the…
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March 10, 2020
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…
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January 23, 2020
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",…
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January 23, 2020
ICRA2020
Wasserstein distributionally robust motion planning and control with safety constraints using conditional value-at-risk Astghik Hakobyan,…
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