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Reinforcement Learning from Partial Observation: Linear Function
  Approximation with Provable Sample Efficiency

Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency

20 April 2022
Qi Cai
Zhuoran Yang
Zhaoran Wang
ArXivPDFHTML

Papers citing "Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency"

4 / 4 papers shown
Title
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Yuhan Li
Eugene Han
Yifan Hu
Wenzhuo Zhou
Zhengling Qi
Yifan Cui
Ruoqing Zhu
OffRL
224
0
0
01 May 2025
Policy Evaluation in Decentralized POMDPs with Belief Sharing
Policy Evaluation in Decentralized POMDPs with Belief Sharing
Mert Kayaalp
Fatima Ghadieh
Ali H. Sayed
21
2
0
08 Feb 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability
Learning in POMDPs is Sample-Efficient with Hindsight Observability
Jonathan Lee
Alekh Agarwal
Christoph Dann
Tong Zhang
34
20
0
31 Jan 2023
Reward-Mixing MDPs with a Few Latent Contexts are Learnable
Reward-Mixing MDPs with a Few Latent Contexts are Learnable
Jeongyeol Kwon
Yonathan Efroni
C. Caramanis
Shie Mannor
31
5
0
05 Oct 2022
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