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Provably Efficient UCB-type Algorithms For Learning Predictive State
  Representations
v1v2v3 (latest)

Provably Efficient UCB-type Algorithms For Learning Predictive State Representations

1 July 2023
Ruiquan Huang
Yitao Liang
J. Yang
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Provably Efficient UCB-type Algorithms For Learning Predictive State Representations"

5 / 5 papers shown
Title
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
Constantine Caramanis
Yonathan Efroni
OffRL
109
3
0
03 Jun 2024
On the Curses of Future and History in Future-dependent Value Functions
  for Off-policy Evaluation
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation
Yuheng Zhang
Nan Jiang
OffRL
67
4
0
22 Feb 2024
Provable Representation with Efficient Planning for Partial Observable
  Reinforcement Learning
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning
Hongming Zhang
Zhaolin Ren
Chenjun Xiao
Dale Schuurmans
Bo Dai
104
4
0
20 Nov 2023
Provable Benefits of Multi-task RL under Non-Markovian Decision Making
  Processes
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
Ruiquan Huang
Yuan Cheng
Jing Yang
Vincent Tan
Yingbin Liang
79
0
0
20 Oct 2023
Prospective Side Information for Latent MDPs
Prospective Side Information for Latent MDPs
Jeongyeol Kwon
Yonathan Efroni
Shie Mannor
Constantine Caramanis
78
6
0
11 Oct 2023
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