Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems
Author:
Affiliation:
1. Stanford University, Stanford, CA, USA
2. University of Chicago, Chicago, IL, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3489048.3522649
Reference3 articles.
1. Yifang Chen Chung-Wei Lee Haipeng Luo and Chen-Yu Wei. 2019. A New Algorithm for Non-stationary Contextual Bandits: Efficient Optimal and Parameter-free. In COLT. 696--726. http://proceedings.mlr.press/v99/chen19b.html Yifang Chen Chung-Wei Lee Haipeng Luo and Chen-Yu Wei. 2019. A New Algorithm for Non-stationary Contextual Bandits: Efficient Optimal and Parameter-free. In COLT. 696--726. http://proceedings.mlr.press/v99/chen19b.html
2. Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems
3. Max Simchowitz and Dylan Foster . 2020 . Naive exploration is optimal for online LQR . In International Conference on Machine Learning. PMLR, 8937--8948 . Max Simchowitz and Dylan Foster. 2020. Naive exploration is optimal for online LQR. In International Conference on Machine Learning. PMLR, 8937--8948.
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