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

26 May 2022

Papers citing "Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes"

9 / 9 papers shown

Title
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding Yuhan Li Eugene Han Yifan Hu Wenzhuo Zhou Zhengling Qi Yifan Cui Ruoqing Zhu OffRL 36 0 0 01 May 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 38 0 0 10 Jan 2025
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
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage Jose H. Blanchet Miao Lu Tong Zhang Han Zhong OffRL 15 29 0 16 May 2023
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts Chenyu You Weicheng Dai Yifei Min Lawrence H. Staib James S. Duncan MedIm 46 12 0 06 Apr 2023
One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks Fenglei Fan Hangcheng Dong Zhongming Wu Lecheng Ruan T. Zeng Yiming Cui Jing-Xiao Liao 19 8 0 11 Mar 2023
TF-Blender: Temporal Feature Blender for Video Object Detection Yiming Cui Liqi Yan Zhiwen Cao Dongfang Liu ViT 40 97 0 12 Aug 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 194 412 0 16 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,662 0 04 May 2020