ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2301.12876
  4. Cited By
Guiding Online Reinforcement Learning with Action-Free Offline
  Pretraining
v1v2 (latest)

Guiding Online Reinforcement Learning with Action-Free Offline Pretraining

30 January 2023
Deyao Zhu
Yuhui Wang
Jürgen Schmidhuber
Mohamed Elhoseiny
    OffRLOnRL
ArXiv (abs)PDFHTMLGithub (10★)

Papers citing "Guiding Online Reinforcement Learning with Action-Free Offline Pretraining"

7 / 7 papers shown
Title
Reinforcement Learning Gradients as Vitamin for Online Finetuning
  Decision Transformers
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision TransformersNeural Information Processing Systems (NeurIPS), 2024
Kai Yan
Alex Schwing
Yu-Xiong Wang
OffRLOnRL
154
3
0
31 Oct 2024
A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement
  Learning
A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement Learning
JaeYoon Kim
Junyu Xuan
Christy Jie Liang
F. Hussain
OffRLOnRL
129
0
0
31 Oct 2024
NOLO: Navigate Only Look Once
NOLO: Navigate Only Look Once
Mengyu Bu
Shuhao Gu
Yang Feng
EgoV
219
1
0
02 Aug 2024
Snapshot Reinforcement Learning: Leveraging Prior Trajectories for
  Efficiency
Snapshot Reinforcement Learning: Leveraging Prior Trajectories for Efficiency
Yanxiao Zhao
Yangge Qian
Tianyi Wang
Jingyang Shan
Xiaolin Qin
172
0
0
01 Mar 2024
Consistency Models as a Rich and Efficient Policy Class for
  Reinforcement Learning
Consistency Models as a Rich and Efficient Policy Class for Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023
Daoce Wang
Chi Jin
OffRLDiffM
144
52
0
29 Sep 2023
Learning to Identify Critical States for Reinforcement Learning from
  Videos
Learning to Identify Critical States for Reinforcement Learning from VideosIEEE International Conference on Computer Vision (ICCV), 2023
Haozhe Liu
Mingchen Zhuge
Bing Li
Yu‐Han Wang
Francesco Faccio
Guohao Li
Jürgen Schmidhuber
OffRL
175
14
0
15 Aug 2023
Balancing policy constraint and ensemble size in uncertainty-based
  offline reinforcement learning
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learningMachine-mediated learning (ML), 2023
Alex Beeson
Giovanni Montana
OffRL
167
14
0
26 Mar 2023
1