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Learn what matters: cross-domain imitation learning with task-relevant
  embeddings

Learn what matters: cross-domain imitation learning with task-relevant embeddings

24 September 2022
Tim Franzmeyer
Philip H. S. Torr
João F. Henriques
    OOD
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Papers citing "Learn what matters: cross-domain imitation learning with task-relevant embeddings"

4 / 4 papers shown
Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics
Insung Kong
Kunwoong Kim
Yongdai Kim
FaML
32
1
0
09 May 2025
Adaptive action supervision in reinforcement learning from real-world
  multi-agent demonstrations
Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations
Keisuke Fujii
Kazushi Tsutsui
Atom Scott
Hiroshi Nakahara
Naoya Takeishi
Yoshinobu Kawahara
21
6
0
22 May 2023
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
45
48
0
07 Oct 2021
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
284
341
0
14 Sep 2020
1