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Curriculum Reinforcement Learning using Optimal Transport via Gradual
  Domain Adaptation

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation

18 October 2022
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
    CLL
ArXivPDFHTML

Papers citing "Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation"

9 / 9 papers shown
Title
Causally Aligned Curriculum Learning
Causally Aligned Curriculum Learning
Mingxuan Li
Junzhe Zhang
Elias Bareinboim
CML
61
3
0
21 Mar 2025
Demonstration-free Autonomous Reinforcement Learning via Implicit and
  Bidirectional Curriculum
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum
Jigang Kim
Daesol Cho
H. J. Kim
22
3
0
17 May 2023
Proximal Curriculum for Reinforcement Learning Agents
Proximal Curriculum for Reinforcement Learning Agents
Georgios Tzannetos
Bárbara Gomes Ribeiro
Parameswaran Kamalaruban
Adish Singla
25
5
0
25 Apr 2023
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
21
12
0
19 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Bo-wen Li
Ding Zhao
71
45
0
16 Sep 2022
Gradual Domain Adaptation without Indexed Intermediate Domains
Gradual Domain Adaptation without Indexed Intermediate Domains
Hong-You Chen
Wei-Lun Chao
CLL
57
39
0
11 Jul 2022
Robust Reinforcement Learning as a Stackelberg Game via
  Adaptively-Regularized Adversarial Training
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Peide Huang
Mengdi Xu
Fei Fang
Ding Zhao
77
37
0
19 Feb 2022
A Probabilistic Interpretation of Self-Paced Learning with Applications
  to Reinforcement Learning
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
Pascal Klink
Hany Abdulsamad
Boris Belousov
Carlo DÉramo
Jan Peters
J. Pajarinen
38
23
0
25 Feb 2021
Curriculum Learning for Reinforcement Learning Domains: A Framework and
  Survey
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
146
457
0
10 Mar 2020
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