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Provable Reinforcement Learning with a Short-Term Memory

Provable Reinforcement Learning with a Short-Term Memory

8 February 2022
Yonathan Efroni
Chi Jin
A. Krishnamurthy
Sobhan Miryoosefi
    OffRL
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Papers citing "Provable Reinforcement Learning with a Short-Term Memory"

12 / 12 papers shown
Title
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
36
2
0
18 May 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
29
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
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
Provable Robustness for Streaming Models with a Sliding Window
Provable Robustness for Streaming Models with a Sliding Window
Aounon Kumar
Vinu Sankar Sadasivan
S. Feizi
OOD
AAML
AI4TS
16
1
0
28 Mar 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
19
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
29
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
33
38
0
12 Jul 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
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
54
22
0
26 May 2022
When Is Partially Observable Reinforcement Learning Not Scary?
When Is Partially Observable Reinforcement Learning Not Scary?
Qinghua Liu
Alan Chung
Csaba Szepesvári
Chi Jin
14
92
0
19 Apr 2022
Provably Efficient Reinforcement Learning with Linear Function
  Approximation Under Adaptivity Constraints
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Chi Jin
Zhuoran Yang
Zhaoran Wang
OffRL
122
166
0
06 Jan 2021
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