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. 2305.18882
  4. Cited By
What is Essential for Unseen Goal Generalization of Offline
  Goal-conditioned RL?

What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?

30 May 2023
Rui Yang
Yong Lin
Xiaoteng Ma
Haotian Hu
Chongjie Zhang
Tong Zhang
    OffRL
ArXivPDFHTML

Papers citing "What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?"

25 / 25 papers shown
Title
OGBench: Benchmarking Offline Goal-Conditioned RL
OGBench: Benchmarking Offline Goal-Conditioned RL
Seohong Park
Kevin Frans
Benjamin Eysenbach
Sergey Levine
OffRL
46
8
0
26 Oct 2024
Unsupervised-to-Online Reinforcement Learning
Unsupervised-to-Online Reinforcement Learning
Junsu Kim
Seohong Park
Sergey Levine
OnRL
48
3
0
27 Aug 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
Ying Fan
Jingling Li
Adith Swaminathan
Aditya Modi
Ching-An Cheng
OffRL
70
0
0
14 Aug 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
Vivek Myers
Chongyi Zheng
Anca Dragan
Sergey Levine
Benjamin Eysenbach
OffRL
36
7
0
24 Jun 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model
  for LLMs
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
Rui Yang
Ruomeng Ding
Yong Lin
Huan Zhang
Tong Zhang
21
42
0
14 Jun 2024
Is Value Learning Really the Main Bottleneck in Offline RL?
Is Value Learning Really the Main Bottleneck in Offline RL?
Seohong Park
Kevin Frans
Sergey Levine
Aviral Kumar
OffRL
43
7
0
13 Jun 2024
Point Cloud Models Improve Visual Robustness in Robotic Learners
Point Cloud Models Improve Visual Robustness in Robotic Learners
Skand Peri
Iain Lee
Chanho Kim
Fuxin Li
Tucker Hermans
Stefan Lee
3DPC
34
3
0
29 Apr 2024
Offline Goal-Conditioned Reinforcement Learning for Shape Control of
  Deformable Linear Objects
Offline Goal-Conditioned Reinforcement Learning for Shape Control of Deformable Linear Objects
Rita Laezza
Mohammadreza Shetab-Bushehri
Gabriel Arslan Waltersson
Erol Özgür
Y. Mezouar
Y. Karayiannidis
OffRL
28
0
0
15 Mar 2024
Foundation Policies with Hilbert Representations
Foundation Policies with Hilbert Representations
Seohong Park
Tobias Kreiman
Sergey Levine
SSL
OffRL
42
18
0
23 Feb 2024
Rewards-in-Context: Multi-objective Alignment of Foundation Models with
  Dynamic Preference Adjustment
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
Rui Yang
Xiaoman Pan
Feng Luo
Shuang Qiu
Han Zhong
Dong Yu
Jianshu Chen
95
66
0
15 Feb 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting
  Mitigation Problem
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
Maciej Wolczyk
Bartłomiej Cupiał
M. Ostaszewski
Michal Bortkiewicz
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
38
13
0
05 Feb 2024
Episodic Reinforcement Learning with Expanded State-reward Space
Episodic Reinforcement Learning with Expanded State-reward Space
Dayang Liang
Yaru Zhang
Yunlong Liu
OffRL
21
0
0
19 Jan 2024
The Generalization Gap in Offline Reinforcement Learning
The Generalization Gap in Offline Reinforcement Learning
Ishita Mediratta
Qingfei You
Minqi Jiang
Roberta Raileanu
OffRL
57
10
0
10 Dec 2023
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with
  Learned Models
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models
Mianchu Wang
Rui Yang
Xi Chen
Hao Sun
Meng Fang
Giovanni Montana
OffRL
23
9
0
30 Oct 2023
Corruption-Robust Offline Reinforcement Learning with General Function
  Approximation
Corruption-Robust Offline Reinforcement Learning with General Function Approximation
Chen Ye
Rui Yang
Quanquan Gu
Tong Zhang
OffRL
8
16
0
23 Oct 2023
Towards Robust Offline Reinforcement Learning under Diverse Data
  Corruption
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
Rui Yang
Han Zhong
Jiawei Xu
Amy Zhang
Chong Zhang
Lei Han
Tong Zhang
OffRL
OnRL
33
15
0
19 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality Data
Zero-Shot Reinforcement Learning from Low Quality Data
Scott Jeen
Tom Bewley
Jonathan M. Cullen
OffRL
OnRL
32
0
0
26 Sep 2023
Habits and goals in synergy: a variational Bayesian framework for
  behavior
Habits and goals in synergy: a variational Bayesian framework for behavior
Dongqi Han
Kenji Doya
Dongsheng Li
Jun Tani
BDL
13
221
0
11 Apr 2023
What is Flagged in Uncertainty Quantification? Latent Density Models for
  Uncertainty Categorization
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
Hao Sun
B. V. Breugel
Jonathan Crabbé
Nabeel Seedat
M. Schaar
17
4
0
11 Jul 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
212
413
0
16 Feb 2021
Improving Generalization in Reinforcement Learning with Mixture
  Regularization
Improving Generalization in Reinforcement Learning with Mixture Regularization
Kaixin Wang
Bingyi Kang
Jie Shao
Jiashi Feng
104
113
0
21 Oct 2020
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
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
786
0
19 Feb 2009
1