Provably Efficient UCB-type Algorithms For Learning Predictive State Representations

1 July 2023

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

8 / 8 papers shown

Title
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 Benefits of Multi-task RL under Non-Markovian Decision Making Processes Ruiquan Huang Yuan-Chia Cheng Jing Yang Vincent Tan Yingbin Liang 24 0 0 20 Oct 2023
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms Fan Chen Yu Bai Song Mei 53 22 0 29 Sep 2022
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings Masatoshi Uehara Ayush Sekhari Jason D. Lee Nathan Kallus Wen Sun 53 6 0 24 Jun 2022
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 Miao Lu Yifei Min Zhaoran Wang Zhuoran Yang OffRL 45 22 0 26 May 2022
Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency Lingxiao Wang Qi Cai Zhuoran Yang Zhaoran Wang 43 17 0 26 May 2022
The Elliptical Potential Lemma Revisited Alexandra Carpentier Claire Vernade Yasin Abbasi-Yadkori 94 20 0 20 Oct 2020