ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.08740
  4. Cited By
Reinformer: Max-Return Sequence Modeling for Offline RL

Reinformer: Max-Return Sequence Modeling for Offline RL

14 May 2024
Zifeng Zhuang
Dengyun Peng
Jinxin Liu
Ziqi Zhang
Donglin Wang
    OffRL
    AI4TS
ArXivPDFHTML

Papers citing "Reinformer: Max-Return Sequence Modeling for Offline RL"

7 / 7 papers shown
Title
Generative Trajectory Stitching through Diffusion Composition
Generative Trajectory Stitching through Diffusion Composition
Yunhao Luo
Utkarsh Aashu Mishra
Yilun Du
Danfei Xu
64
0
0
07 Mar 2025
Yes, Q-learning Helps Offline In-Context RL
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
82
0
0
24 Feb 2025
Integrating Multi-Modal Input Token Mixer Into Mamba-Based Decision Models: Decision MetaMamba
Integrating Multi-Modal Input Token Mixer Into Mamba-Based Decision Models: Decision MetaMamba
Wall Kim
Mamba
44
0
0
10 Jan 2025
CORL: Research-oriented Deep Offline Reinforcement Learning Library
CORL: Research-oriented Deep Offline Reinforcement Learning Library
Denis Tarasov
Alexander Nikulin
Dmitry Akimov
Vladislav Kurenkov
Sergey Kolesnikov
OffRL
46
76
0
13 Oct 2022
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
Taku Yamagata
Ahmed Khalil
Raúl Santos-Rodríguez
OffRL
151
70
0
08 Sep 2022
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
206
832
0
12 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
321
1,944
0
04 May 2020
1