Q-learning Decision Transformer: Leveraging Dynamic Programming for
Conditional Sequence Modelling in Offline RL

Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL

8 September 2022

Raúl Santos-Rodríguez

Papers citing "Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL"

18 / 18 papers shown

Title
Generative Trajectory Stitching through Diffusion Composition Yunhao Luo Utkarsh Aashu Mishra Yilun Du Danfei Xu 56 0 0 07 Mar 2025
Yes, Q-learning Helps Offline In-Context RL Denis Tarasov Alexander Nikulin Ilya Zisman Albina Klepach Andrei Polubarov Nikita Lyubaykin Alexander Derevyagin Igor Kiselev Vladislav Kurenkov OffRL OnRL 71 0 0 24 Feb 2025
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Shenghong He OffRL 73 0 0 10 Feb 2025
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning Zijian Guo Weichao Zhou Wenchao Li OffRL 70 2 0 28 Jan 2025
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning Ge Li Dong Tian Hongyi Zhou Xinkai Jiang Rudolf Lioutikov Gerhard Neumann OffRL 71 2 0 12 Oct 2024
Predictive Coding for Decision Transformer T. Luu Donghoon Lee Chang D. Yoo OffRL 31 1 0 04 Oct 2024
Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference Claudio Angione Yue Zhao Harry Yang Ahmad Farhan Fielding Johnston James Buban Patrick Colangelo 18 1 0 29 Jul 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL Qi Lv Xiang Deng Gongwei Chen Michael Yu Wang Liqiang Nie 41 6 0 08 Jun 2024
State-Constrained Offline Reinforcement Learning Charles A. Hepburn Yue Jin Giovanni Montana OffRL 18 0 0 23 May 2024
Return-Aligned Decision Transformer Tsunehiko Tanaka Kenshi Abe Kaito Ariu Tetsuro Morimura Edgar Simo-Serra OffRL 30 1 0 06 Feb 2024
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View Raj Ghugare Matthieu Geist Glen Berseth Benjamin Eysenbach OffRL 12 14 0 20 Jan 2024
A Tractable Inference Perspective of Offline RL Xuejie Liu Anji Liu Guy Van den Broeck Yitao Liang OffRL 20 1 0 31 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 12 0 0 26 Sep 2023
PASTA: Pretrained Action-State Transformer Agents Raphael Boige Yannis Flet-Berliac Arthur Flajolet Guillaume Richard Thomas Pierrot LM&Ro OffRL 9 5 0 20 Jul 2023
Prompt-Tuning Decision Transformer with Preference Ranking Shengchao Hu Li Shen Ya-Qin Zhang Dacheng Tao OffRL 13 14 0 16 May 2023
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 135 84 0 22 Sep 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 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