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September 19, 2022

[NeurIPS] Improved regret analysis for variance-adaptive linear bandits

The paper "Improved regret analysis for variance-adaptive linear bandits and horizon-free linear mixture MDPs," co-authored…
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September 19, 2022

[T-RO] Distributionally robust risk map for learning-based motion planning and control

The paper "Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming…
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July 23, 2022

[CDC 2 papers] Distributionally robust partially observable control, Distributionally robust unit commitment

The papers "Wasserstein distributionally robust control of partially observable linear systems: Tractable approximation and performance…
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July 23, 2022

[RA-L & IROS] Infusing MPC into meta-RL

The paper "Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments"…
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May 27, 2022

[ICML] Accelerated gradient methods for geodesically convex optimization

The paper "Accelerated gradient methods for geodesically convex optimization: Tractable algorithms and convergence analysis" has…
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April 15, 2022

[TAC] Maximum entropy optimal control in continuous time

The paper "Maximum entropy optimal control of continuous-time dynamical systems" has been accepted for publication…
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April 15, 2022

[M3AS] Nonconvex optimization on the Stiefel manifold

The paper "Stochastic consensus dynamics for nonconvex optimization on the Stiefel manifold: Mean-field limit and…
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November 16, 2021

[TAC] Risk-sensitive safety analysis using CVaR

The paper "Risk-sensitive safety analysis using conditional value-at-risk" has been accepted for publication in the…
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September 2, 2021

[JMLR] Hamilton-Jacobi deep Q-learning

The paper "Hamilton-Jacobi deep Q-learning for deterministic continuous-time systems with Lipschitz continuous controls" has been…
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August 17, 2021

[T-RO] Distributionally robust motion control using CVaR

The paper "Wasserstein distributionally robust motion control for collision avoidance using conditional value-at-risk" has been…
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