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Disentangling Policy from Offline Task Representation Learning via
  Adversarial Data Augmentation

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation

Adaptive Agents and Multi-Agent Systems (AAMAS), 2024
12 March 2024
Chengxing Jia
Fuxiang Zhang
Yi-Chen Li
Chenxiao Gao
Xu-Hui Liu
Lei Yuan
Zongzhang Zhang
Yang Yu
    AAML
ArXiv (abs)PDFHTMLGithub (3★)

Papers citing "Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation"

2 / 2 papers shown
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement
  Learning
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
Xu-Hui Liu
Tian-Shuo Liu
Shengyi Jiang
Ruifeng Chen
Zhilong Zhang
Xinwei Chen
Yang Yu
OffRLOnRL
326
10
0
17 Jul 2024
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
Xinyu Zhang
Wenjie Qiu
Yi-Chen Li
Lei Yuan
Chengxing Jia
Zongzhang Zhang
Yang Yu
OffRL
328
3
0
17 Feb 2024
1
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