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Sparsity in Partially Controllable Linear Systems
v1v2 (latest)

Sparsity in Partially Controllable Linear Systems

International Conference on Machine Learning (ICML), 2021
12 October 2021
Yonathan Efroni
Sham Kakade
A. Krishnamurthy
Cyril Zhang
ArXiv (abs)PDFHTML

Papers citing "Sparsity in Partially Controllable Linear Systems"

7 / 7 papers shown
Reward-Relevance-Filtered Linear Offline Reinforcement Learning
Reward-Relevance-Filtered Linear Offline Reinforcement LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Angela Zhou
OffRL
249
3
0
23 Jan 2024
Learning an Inventory Control Policy with General Inventory Arrival
  Dynamics
Learning an Inventory Control Policy with General Inventory Arrival Dynamics
Sohrab Andaz
Carson Eisenach
Dhruv Madeka
Kari Torkkola
Randy Jia
Dean Phillips Foster
Sham Kakade
269
4
0
26 Oct 2023
The Role of Coverage in Online Reinforcement Learning
The Role of Coverage in Online Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022
Tengyang Xie
Dylan J. Foster
Yu Bai
Nan Jiang
Sham Kakade
OffRL
266
70
0
09 Oct 2022
Deep Inventory Management
Deep Inventory Management
Dhruv Madeka
Kari Torkkola
Carson Eisenach
Anna Luo
Dean Phillips Foster
Sham M. Kakade
BDL
294
16
0
06 Oct 2022
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step
  Inverse Models
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models
Alex Lamb
Riashat Islam
Yonathan Efroni
Aniket Didolkar
Dipendra Kumar Misra
Dylan J. Foster
Lekan Molu
Rajan Chari
A. Krishnamurthy
John Langford
259
32
0
17 Jul 2022
Sample-Efficient Reinforcement Learning in the Presence of Exogenous
  Information
Sample-Efficient Reinforcement Learning in the Presence of Exogenous InformationAnnual Conference Computational Learning Theory (COLT), 2022
Yonathan Efroni
Dylan J. Foster
Dipendra Kumar Misra
A. Krishnamurthy
John Langford
OffRL
195
27
0
09 Jun 2022
Learning to Control Linear Systems can be Hard
Learning to Control Linear Systems can be HardAnnual Conference Computational Learning Theory (COLT), 2022
Anastasios Tsiamis
Ingvar M. Ziemann
M. Morari
Nikolai Matni
George J. Pappas
242
16
0
27 May 2022
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