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Making Non-Stochastic Control (Almost) as Easy as Stochastic

Making Non-Stochastic Control (Almost) as Easy as Stochastic

10 June 2020
Max Simchowitz
ArXivPDFHTML

Papers citing "Making Non-Stochastic Control (Almost) as Easy as Stochastic"

9 / 9 papers shown
Title
Optimistic Online Non-stochastic Control via FTRL
Optimistic Online Non-stochastic Control via FTRL
N. Mhaisen
Georgios Iosifidis
34
1
0
04 Apr 2024
Optimal Rates for Bandit Nonstochastic Control
Optimal Rates for Bandit Nonstochastic Control
Y. Jennifer Sun
Stephen Newman
Elad Hazan
34
7
0
24 May 2023
Optimal Dynamic Regret in LQR Control
Optimal Dynamic Regret in LQR Control
Dheeraj Baby
Yu-Xiang Wang
29
16
0
18 Jun 2022
Optimal Competitive-Ratio Control
Optimal Competitive-Ratio Control
Oron Sabag
Sahin Lale
B. Hassibi
33
12
0
03 Jun 2022
Efficient Online Linear Control with Stochastic Convex Costs and Unknown
  Dynamics
Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics
Asaf B. Cassel
Alon Cohen
Google Research
23
5
0
02 Mar 2022
Regret-optimal Estimation and Control
Regret-optimal Estimation and Control
Gautam Goel
B. Hassibi
41
33
0
22 Jun 2021
Non-stationary Online Learning with Memory and Non-stochastic Control
Non-stationary Online Learning with Memory and Non-stochastic Control
Peng Zhao
Yu-Hu Yan
Yu-Xiang Wang
Zhi-Hua Zhou
40
47
0
07 Feb 2021
Adaptive Regret for Control of Time-Varying Dynamics
Adaptive Regret for Control of Time-Varying Dynamics
Paula Gradu
Elad Hazan
Edgar Minasyan
39
47
0
08 Jul 2020
When is Particle Filtering Efficient for Planning in Partially Observed
  Linear Dynamical Systems?
When is Particle Filtering Efficient for Planning in Partially Observed Linear Dynamical Systems?
S. Du
Wei Hu
Zhiyuan Li
Ruoqi Shen
Zhao Song
Jiajun Wu
36
1
0
10 Jun 2020
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