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RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy
  Evaluation
v1v2 (latest)

RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation

3 June 2024
Jeongyeol Kwon
Shie Mannor
Constantine Caramanis
Yonathan Efroni
    OffRL
ArXiv (abs)PDFHTML

Papers citing "RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation"

4 / 4 papers shown
Title
To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable Reinforcement Learning
To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable Reinforcement Learning
Yuda Song
Dhruv Rohatgi
Aarti Singh
J. Andrew Bagnell
89
0
0
03 Oct 2025
Near-Optimal Clustering in Mixture of Markov Chains
Near-Optimal Clustering in Mixture of Markov Chains
Junghyun Lee
Yassir Jedra
Alexandre Proutière
Se-Young Yun
267
1
0
02 Jun 2025
A Classification View on Meta Learning Bandits
A Classification View on Meta Learning Bandits
Mirco Mutti
Jeongyeol Kwon
Shie Mannor
Aviv Tamar
219
0
0
06 Apr 2025
Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPsInternational Conference on Learning Representations (ICLR), 2025
Yuheng Zhang
Nan Jiang
OffRL
183
2
0
03 Mar 2025
1