Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling

10 February 2025

Papers citing "Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling"

34 / 34 papers shown

Title
Offline Imitation Learning with Model-based Reverse Augmentation Jie-Jing Shao Hao-Sen Shi Lan-Zhe Guo Yu-Feng Li OffRL 45 5 0 18 Jun 2024
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching Guanghe Li Yixiang Shan Zhengbang Zhu Ting Long Weinan Zhang OffRL 44 12 0 04 Feb 2024
Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment Rui Zhao Liang Zhang Biao Fu Cong Hu Jinsong Su Yidong Chen SLR 67 13 0 25 Dec 2023
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning Arjun Bhardwaj Jonas Rothfuss Bhavya Sukhija Yarden As Marco Hutter Stelian Coros Andreas Krause 44 5 0 13 Nov 2023
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning Chenxiao Gao Chenyang Wu Mingjun Cao Rui Kong Zongzhang Zhang Yang Yu OffRL 55 14 0 12 Sep 2023
Benchmarking Large Language Models in Retrieval-Augmented Generation Jiawei Chen Hongyu Lin Xianpei Han Le Sun 3DV RALM 29 282 0 04 Sep 2023
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets Anirudhan Badrinath Yannis Flet-Berliac Allen Nie Emma Brunskill OffRL 54 17 0 24 Jun 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems Andrew Wagenmaker Guanya Shi Kevin Jamieson 52 15 0 15 Jun 2023
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 78 32 0 16 May 2023
Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning Junjie Zhang Jiafei Lyu Xiaoteng Ma Jiangpeng Yan Jun Yang Le Wan Xiu Li OffRL 50 6 0 10 Apr 2023
Synthetic Experience Replay Cong Lu Philip J. Ball Yee Whye Teh Jack Parker-Holder OffRL 107 73 0 12 Mar 2023
Model-Based Uncertainty in Value Functions Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 49 15 0 24 Feb 2023
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function Ruijie Zheng Xiyao Wang Huazhe Xu Furong Huang 63 14 0 02 Feb 2023
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL Taku Yamagata Ahmed Khalil Raúl Santos-Rodríguez OffRL 172 75 0 08 Sep 2022
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination Jiafei Lyu Xiu Li Zongqing Lu OffRL 44 25 0 16 Jun 2022
Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation Zhiwei He Xing Wang Rui Wang Shuming Shi Zhaopeng Tu 54 12 0 16 Mar 2022
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning Christopher P. Diehl Timo Sievernich Martin Krüger F. Hoffmann Torsten Bertram OffRL 69 26 0 22 Nov 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 249 874 0 12 Oct 2021
Offline Reinforcement Learning with Reverse Model-based Imagination Jianhao Wang Wenzhe Li Haozhe Jiang Guangxiang Zhu Siyuan Li Chongjie Zhang OffRL 145 61 0 01 Oct 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 95 665 0 03 Jun 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 77 1,608 0 02 Jun 2021
Model-Based Offline Planning with Trajectory Pruning Xianyuan Zhan Xiangyu Zhu Haoran Xu OffRL 65 36 0 16 May 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 263 425 0 16 Feb 2021
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 43 83 0 12 Aug 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 94 1,780 0 08 Jun 2020
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 65 759 0 27 May 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 67 662 0 12 May 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 177 1,338 0 15 Apr 2020
CTRL: A Conditional Transformer Language Model for Controllable Generation N. Keskar Bryan McCann Lav Varshney Caiming Xiong R. Socher AI4CE 99 1,239 0 11 Sep 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 55 939 0 19 Jun 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 154 1,586 0 07 Dec 2018
Behavioral Cloning from Observation F. Torabi Garrett A. Warnell Peter Stone OffRL 100 715 0 04 May 2018
Lipschitz Continuity in Model-based Reinforcement Learning Kavosh Asadi Dipendra Kumar Misra Michael L. Littman KELM 60 152 0 19 Apr 2018
Self-Correcting Models for Model-Based Reinforcement Learning Erik Talvitie LRM 55 94 0 19 Dec 2016