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Reward-Mixing MDPs with a Few Latent Contexts are Learnable

Reward-Mixing MDPs with a Few Latent Contexts are Learnable

5 October 2022
Jeongyeol Kwon
Yonathan Efroni
C. Caramanis
Shie Mannor
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Papers citing "Reward-Mixing MDPs with a Few Latent Contexts are Learnable"

7 / 7 papers shown
Title
A Classification View on Meta Learning Bandits
A Classification View on Meta Learning Bandits
Mirco Mutti
Jeongyeol Kwon
Shie Mannor
Aviv Tamar
18
0
0
06 Apr 2025
Test-Time Regret Minimization in Meta Reinforcement Learning
Test-Time Regret Minimization in Meta Reinforcement Learning
Mirco Mutti
Aviv Tamar
16
4
0
04 Jun 2024
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy
  Evaluation
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
Jeongyeol Kwon
Shie Mannor
C. Caramanis
Yonathan Efroni
OffRL
22
2
0
03 Jun 2024
Prospective Side Information for Latent MDPs
Prospective Side Information for Latent MDPs
Jeongyeol Kwon
Yonathan Efroni
Shie Mannor
C. Caramanis
18
5
0
11 Oct 2023
Provably Efficient Reinforcement Learning in Partially Observable
  Dynamical Systems
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems
Masatoshi Uehara
Ayush Sekhari
Jason D. Lee
Nathan Kallus
Wen Sun
OffRL
47
31
0
24 Jun 2022
Coordinated Attacks against Contextual Bandits: Fundamental Limits and
  Defense Mechanisms
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms
Jeongyeol Kwon
Yonathan Efroni
C. Caramanis
Shie Mannor
AAML
35
6
0
30 Jan 2022
Learning mixtures of structured distributions over discrete domains
Learning mixtures of structured distributions over discrete domains
Siu On Chan
Ilias Diakonikolas
Rocco A. Servedio
Xiaorui Sun
51
83
0
02 Oct 2012
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