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. 2009.04875
  4. Cited By
Importance Weighted Policy Learning and Adaptation

Importance Weighted Policy Learning and Adaptation

10 September 2020
Alexandre Galashov
Jakub Sygnowski
Guillaume Desjardins
Jan Humplik
Leonard Hasenclever
Rae Jeong
Yee Whye Teh
N. Heess
    OffRL
ArXivPDFHTML

Papers citing "Importance Weighted Policy Learning and Adaptation"

4 / 4 papers shown
Title
How to Spend Your Robot Time: Bridging Kickstarting and Offline
  Reinforcement Learning for Vision-based Robotic Manipulation
How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation
Alex X. Lee
Coline Devin
Jost Tobias Springenberg
Yuxiang Zhou
Thomas Lampe
A. Abdolmaleki
Konstantinos Bousmalis
OffRL
OnRL
31
15
0
06 May 2022
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
217
640
0
19 Sep 2019
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
178
666
0
07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
529
11,727
0
09 Mar 2017
1