Settling the sample complexity of model-based offline reinforcement learning

G Li, L Shi, Y Chen, Y Chi, Y Wei - The Annals of Statistics, 2024 - projecteuclid.org
Settling the sample complexity of model-based offline reinforcement learning Page 1 The
Annals of Statistics 2024, Vol. 52, No. 1, 233–260 https://doi.org/10.1214/23-AOS2342 © …
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Settling the Sample Complexity of Model-Based Offline Reinforcement Learning

G Li, L Shi, Y Chen, Y Chi, Y Wei - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
This paper is concerned with offline reinforcement learning (RL), which learns using pre-
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Settling the Sample Complexity of Model-Based Offline Reinforcement Learning

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G Li, L Shi, Y Chen, Y Chi, Y Wei - yuxinchen2020.github.io
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SETTLING THE SAMPLE COMPLEXITY OF MODEL-BASED OFFLINE REINFORCEMENT LEARNING

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[PDF] cmu.edu

[PDF][PDF] Settling the Sample Complexity of Model-Based Offline Reinforcement Learning

G Li, L Shi, Y Chen, Y Chi, Y Wei - users.ece.cmu.edu
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collected data without further exploration. Effective offline RL would be able to accommodate …
[PDF] imstat.org

[PDF][PDF] SETTLING THE SAMPLE COMPLEXITY OF MODEL-BASED OFFLINE REINFORCEMENT LEARNING

GEN LI, L SHI, Y CHEN, Y CHI, Y WEI - THE ANNALS, 2024 - imstat.org
This paper is concerned with offline reinforcement learning (RL), which learns using
precollected data without further exploration. Effective offline RL would be able to …
[PDF] cmu.edu

[PDF][PDF] Settling the Sample Complexity of Model-Based Offline Reinforcement Learning

G Li, L Shi, Y Chen, Y Chi, Y Wei - users.ece.cmu.edu
This paper is concerned with offline reinforcement learning (RL), which learns using pre-
collected data without further exploration. Effective offline RL would be able to accommodate …