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. 2310.19261
  4. Cited By
Diversify & Conquer: Outcome-directed Curriculum RL via
  Out-of-Distribution Disagreement

Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement

30 October 2023
Daesol Cho
Seungjae Lee
H. J. Kim
    OODD
ArXivPDFHTML

Papers citing "Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement"

5 / 5 papers shown
Title
Planning Goals for Exploration
Planning Goals for Exploration
E. Hu
Richard Chang
Oleh Rybkin
Dinesh Jayaraman
35
24
0
23 Mar 2023
Diversify and Disambiguate: Learning From Underspecified Data
Diversify and Disambiguate: Learning From Underspecified Data
Yoonho Lee
Huaxiu Yao
Chelsea Finn
203
64
0
07 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
Michael Laskin
Hao Liu
Xue Bin Peng
Denis Yarats
Aravind Rajeswaran
Pieter Abbeel
SSL
74
65
0
01 Feb 2022
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
252
11,677
0
09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
1