ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2403.07261
  4. Cited By
Disentangling Policy from Offline Task Representation Learning via
  Adversarial Data Augmentation

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation

12 March 2024
Chengxing Jia
Fuxiang Zhang
Yi-Chen Li
Chenxiao Gao
Xu-Hui Liu
Lei Yuan
Zongzhang Zhang
Yang Yu
    AAML
ArXivPDFHTML

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

8 / 8 papers shown
Title
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
OffRL
OnRL
29
2
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
22
1
0
17 Feb 2024
Offline Reinforcement Learning via High-Fidelity Generative Behavior
  Modeling
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
Huayu Chen
Cheng Lu
Chengyang Ying
Hang Su
Jun Zhu
DiffM
OffRL
85
105
0
29 Sep 2022
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
212
832
0
12 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified
  Q-Ensemble
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An
Seungyong Moon
Jang-Hyun Kim
Hyun Oh Song
OffRL
95
261
0
04 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
214
413
0
16 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
329
1,944
0
04 May 2020
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
11,659
0
09 Mar 2017
1