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A PAC RL Algorithm for Episodic POMDPs

A PAC RL Algorithm for Episodic POMDPs

25 May 2016
Z. Guo
Shayan Doroudi
Emma Brunskill
ArXivPDFHTML

Papers citing "A PAC RL Algorithm for Episodic POMDPs"

15 / 15 papers shown
Title
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
27
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
Tongzheng Ren
Chenjun Xiao
Dale Schuurmans
Bo Dai
45
3
0
20 Nov 2023
Posterior Sampling-based Online Learning for Episodic POMDPs
Posterior Sampling-based Online Learning for Episodic POMDPs
Dengwang Tang
Dongze Ye
Rahul Jain
A. Nayyar
Pierluigi Nuzzo
OffRL
51
0
0
16 Oct 2023
Learning Optimal Admission Control in Partially Observable Queueing
  Networks
Learning Optimal Admission Control in Partially Observable Queueing Networks
Jonatha Anselmi
B. Gaujal
Louis-Sébastien Rebuffi
19
1
0
04 Aug 2023
Provably Efficient Representation Learning with Tractable Planning in
  Low-Rank POMDP
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP
Jiacheng Guo
Zihao Li
Huazheng Wang
Mengdi Wang
Zhuoran Yang
Xuezhou Zhang
32
5
0
21 Jun 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
27
5
0
05 Oct 2022
PAC Reinforcement Learning for Predictive State Representations
PAC Reinforcement Learning for Predictive State Representations
Wenhao Zhan
Masatoshi Uehara
Wen Sun
Jason D. Lee
31
38
0
12 Jul 2022
Computationally Efficient PAC RL in POMDPs with Latent Determinism and
  Conditional Embeddings
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings
Masatoshi Uehara
Ayush Sekhari
Jason D. Lee
Nathan Kallus
Wen Sun
58
6
0
24 Jun 2022
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
49
31
0
24 Jun 2022
Sample-Efficient Reinforcement Learning of Partially Observable Markov
  Games
Sample-Efficient Reinforcement Learning of Partially Observable Markov Games
Qinghua Liu
Csaba Szepesvári
Chi Jin
29
20
0
02 Jun 2022
Pessimism in the Face of Confounders: Provably Efficient Offline
  Reinforcement Learning in Partially Observable Markov Decision Processes
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes
Miao Lu
Yifei Min
Zhaoran Wang
Zhuoran Yang
OffRL
51
22
0
26 May 2022
Planning in Observable POMDPs in Quasipolynomial Time
Planning in Observable POMDPs in Quasipolynomial Time
Noah Golowich
Ankur Moitra
Dhruv Rohatgi
21
27
0
12 Jan 2022
Reinforcement Learning in Reward-Mixing MDPs
Reinforcement Learning in Reward-Mixing MDPs
Jeongyeol Kwon
Yonathan Efroni
C. Caramanis
Shie Mannor
27
15
0
07 Oct 2021
Sublinear Regret for Learning POMDPs
Sublinear Regret for Learning POMDPs
Yi Xiong
Ningyuan Chen
Xuefeng Gao
Xiang Zhou
21
25
0
08 Jul 2021
RL for Latent MDPs: Regret Guarantees and a Lower Bound
RL for Latent MDPs: Regret Guarantees and a Lower Bound
Jeongyeol Kwon
Yonathan Efroni
C. Caramanis
Shie Mannor
21
77
0
09 Feb 2021
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