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2206.12020
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Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems
24 June 2022
Masatoshi Uehara
Ayush Sekhari
Jason D. Lee
Nathan Kallus
Wen Sun
OffRL
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Papers citing
"Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems"
5 / 5 papers shown
Title
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation
Yuheng Zhang
Nan Jiang
OffRL
22
4
0
22 Feb 2024
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
Ruiquan Huang
Yuan-Chia Cheng
Jing Yang
Vincent Tan
Yingbin Liang
11
0
0
20 Oct 2023
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP
Jiacheng Guo
Zihao Li
Huazheng Wang
Mengdi Wang
Zhuoran Yang
Xuezhou Zhang
17
5
0
21 Jun 2023
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings
Masatoshi Uehara
Ayush Sekhari
Jason D. Lee
Nathan Kallus
Wen Sun
51
6
0
24 Jun 2022
Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency
Lingxiao Wang
Qi Cai
Zhuoran Yang
Zhaoran Wang
41
17
0
26 May 2022
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