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. 2312.15909
  4. Cited By
Generalizable Task Representation Learning for Offline
  Meta-Reinforcement Learning with Data Limitations

Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations

26 December 2023
Renzhe Zhou
Chenxiao Gao
Zongzhang Zhang
Yang Yu
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations"

15 / 15 papers shown
Title
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
95
1
0
17 Feb 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Lanqing Li
Hai Zhang
Xinyu Zhang
Shatong Zhu
Junqiao Zhao
Junqiao Zhao
Pheng-Ann Heng
OffRL
93
11
0
04 Feb 2024
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL
Fei Ni
Jianye Hao
Yao Mu
Yifu Yuan
Yan Zheng
Bin Wang
Zhixuan Liang
DiffMOffRL
104
49
0
31 May 2023
Robust Task Representations for Offline Meta-Reinforcement Learning via
  Contrastive Learning
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
Haoqi Yuan
Zongqing Lu
SSLOffRL
76
42
0
21 Jun 2022
A Minimalist Approach to Offline Reinforcement Learning
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto
S. Gu
OffRL
132
830
0
12 Jun 2021
Meta-Reinforcement Learning Robust to Distributional Shift via Model
  Identification and Experience Relabeling
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling
Russell Mendonca
Xinyang Geng
Chelsea Finn
Sergey Levine
OODOffRL
93
40
0
12 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
OffRLOnRL
146
1,836
0
08 Jun 2020
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
L. Zintgraf
K. Shiarlis
Maximilian Igl
Sebastian Schulze
Y. Gal
Katja Hofmann
Shimon Whiteson
OffRL
70
279
0
18 Oct 2019
Single Episode Policy Transfer in Reinforcement Learning
Single Episode Policy Transfer in Reinforcement Learning
Jiachen Yang
Brenden K. Petersen
H. Zha
Daniel Faissol
OODOffRL
123
35
0
17 Oct 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar
Justin Fu
George Tucker
Sergey Levine
OffRLOnRL
140
1,067
0
03 Jun 2019
Off-Policy Deep Reinforcement Learning without Exploration
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRLBDL
253
1,625
0
07 Dec 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
195
5,226
0
26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
317
8,432
0
04 Jan 2018
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
833
11,961
0
09 Mar 2017
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
RL2^22: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan
John Schulman
Xi Chen
Peter L. Bartlett
Ilya Sutskever
Pieter Abbeel
OffRL
107
1,028
0
09 Nov 2016
1