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On the Benefit of Optimal Transport for Curriculum Reinforcement
  Learning

On the Benefit of Optimal Transport for Curriculum Reinforcement Learning

25 September 2023
Pascal Klink
Carlo DÉramo
Jan Peters
J. Pajarinen
ArXivPDFHTML

Papers citing "On the Benefit of Optimal Transport for Curriculum Reinforcement Learning"

5 / 5 papers shown
Title
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
42
48
0
07 Oct 2021
Replay-Guided Adversarial Environment Design
Replay-Guided Adversarial Environment Design
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
121
95
0
06 Oct 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
N. Rudin
David Hoeller
Philipp Reist
Marco Hutter
113
544
0
24 Sep 2021
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
143
457
0
10 Mar 2020
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