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Outcome-directed Reinforcement Learning by Uncertainty & Temporal
  Distance-Aware Curriculum Goal Generation

Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation

27 January 2023
Daesol Cho
Seungjae Lee
H. J. Kim
ArXivPDFHTML

Papers citing "Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation"

6 / 6 papers shown
Title
Causally Aligned Curriculum Learning
Causally Aligned Curriculum Learning
Mingxuan Li
Junzhe Zhang
Elias Bareinboim
CML
56
3
0
21 Mar 2025
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
Abdus Salam Azad
Izzeddin Gur
Jasper Emhoff
Nathaniel Alexis
Aleksandra Faust
Pieter Abbeel
Ion Stoica
SSL
16
12
0
19 Oct 2022
Watch and Match: Supercharging Imitation with Regularized Optimal
  Transport
Watch and Match: Supercharging Imitation with Regularized Optimal Transport
Siddhant Haldar
Vaibhav Mathur
Denis Yarats
Lerrel Pinto
46
62
0
30 Jun 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
Cross-Domain Imitation Learning via Optimal Transport
Cross-Domain Imitation Learning via Optimal Transport
Arnaud Fickinger
Samuel N. Cohen
Stuart J. Russell
Brandon Amos
OT
40
47
0
07 Oct 2021
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
11,677
0
09 Mar 2017
1