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. 2001.00248
  4. Cited By
Meta Reinforcement Learning with Autonomous Inference of Subtask
  Dependencies

Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies

1 January 2020
Sungryull Sohn
Hyunjae Woo
Jongwook Choi
Honglak Lee
    OffRL
ArXivPDFHTML

Papers citing "Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies"

10 / 10 papers shown
Title
Task Graph Maximum Likelihood Estimation for Procedural Activity Understanding in Egocentric Videos
Task Graph Maximum Likelihood Estimation for Procedural Activity Understanding in Egocentric Videos
Luigi Seminara
G. Farinella
Antonino Furnari
72
0
0
25 Feb 2025
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
Luigi Seminara
G. Farinella
Antonino Furnari
56
7
0
10 Jan 2025
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
30
119
0
19 Jan 2023
Fast Inference and Transfer of Compositional Task Structures for
  Few-shot Task Generalization
Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization
Sungryull Sohn
Hyunjae Woo
Jongwook Choi
lyubing qiang
Izzeddin Gur
Aleksandra Faust
Honglak Lee
BDL
OffRL
14
3
0
25 May 2022
Possibility Before Utility: Learning And Using Hierarchical Affordances
Possibility Before Utility: Learning And Using Hierarchical Affordances
Robby Costales
Shariq Iqbal
Fei Sha
11
5
0
23 Mar 2022
Environment Generation for Zero-Shot Compositional Reinforcement
  Learning
Environment Generation for Zero-Shot Compositional Reinforcement Learning
Izzeddin Gur
Natasha Jaques
Yingjie Miao
Jongwook Choi
Manoj Kumar Tiwari
Honglak Lee
Aleksandra Faust
18
43
0
21 Jan 2022
Multi-Task Learning with Sequence-Conditioned Transporter Networks
Multi-Task Learning with Sequence-Conditioned Transporter Networks
M. H. Lim
Andy Zeng
Brian Ichter
Maryam Bandari
Erwin Coumans
Claire Tomlin
S. Schaal
Aleksandra Faust
20
14
0
15 Sep 2021
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
191
498
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
165
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
243
11,659
0
09 Mar 2017
1