The paper "Improved regret analysis for variance-adaptive linear bandits and horizon-free linear mixture MDPs," co-authored by Yeoneung Kim and Kwang-Sung Jun, has been accepted to Advances in Neural Information Processing Systems (NeurIPS) ...

The paper "Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming approach" has been accepted for publication in the IEEE Transactions on Robotics. Distributionally robust risk map for learning-based motion planning and ...

The papers "Wasserstein distributionally robust control of partially observable linear systems: Tractable approximation and performance guarantee" and "On affine policies for Wasserstein distributionally robust unit commitment" have been accepted to 2022 IEEE Conference on Decision and ...

The paper "Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments" has been accepted to IEEE Robotics and Automation Letters (RA-L) and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ...

The paper "Accelerated gradient methods for geodesically convex optimization: Tractable algorithms and convergence analysis" has been accepted to the International Conference on Machine Learning (ICML). Accelerated gradient methods for geodesically convex optimization: Tractable algorithms and convergence ...