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Rethinking Goal-conditioned Supervised Learning and Its Connection to
  Offline RL

Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL

9 February 2022
Rui Yang
Yiming Lu
Wenzhe Li
Hao Sun
Meng Fang
Yali Du
Xiu Li
Lei Han
Chongjie Zhang
    OffRL
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Papers citing "Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL"

17 / 17 papers shown
Title
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning
Hao Sun
M. Schaar
87
14
0
28 Jan 2025
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
Zero-Shot Offline Imitation Learning via Optimal Transport
Zero-Shot Offline Imitation Learning via Optimal Transport
Thomas Rupf
Marco Bagatella
Nico Gürtler
Jonas Frey
Georg Martius
OffRL
77
0
0
11 Oct 2024
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
Shenao Zhang
Zhihan Liu
Boyi Liu
Y. Zhang
Yingxiang Yang
Y. Liu
Liyu Chen
Tao Sun
Z. Wang
87
2
0
10 Oct 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
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets
Haoran He
C. Chang
Huazhe Xu
Ling Pan
77
6
0
03 Jun 2024
Stitching Sub-Trajectories with Conditional Diffusion Model for
  Goal-Conditioned Offline RL
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL
Sungyoon Kim
Yunseon Choi
Daiki E. Matsunaga
Kee-Eung Kim
OffRL
23
6
0
11 Feb 2024
Reinforcement Learning in the Era of LLMs: What is Essential? What is
  needed? An RL Perspective on RLHF, Prompting, and Beyond
Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond
Hao Sun
OffRL
23
21
0
09 Oct 2023
Distance Weighted Supervised Learning for Offline Interaction Data
Distance Weighted Supervised Learning for Offline Interaction Data
Joey Hejna
Jensen Gao
Dorsa Sadigh
OffRL
31
12
0
26 Apr 2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
Moritz Reuss
M. Li
Xiaogang Jia
Rudolf Lioutikov
DiffM
21
156
0
05 Apr 2023
Swapped goal-conditioned offline reinforcement learning
Swapped goal-conditioned offline reinforcement learning
Wenyan Yang
Huiling Wang
Dingding Cai
J. Pajarinen
Joni-Kristen Kämäräinen
OffRL
OnRL
8
1
0
17 Feb 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward
  Shaping
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
A. Lazaric
Alahari Karteek
OffRL
32
17
0
05 Jan 2023
Learning Robotic Navigation from Experience: Principles, Methods, and
  Recent Results
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results
Sergey Levine
Dhruv Shah
SSL
16
21
0
13 Dec 2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning
A Policy-Guided Imitation Approach for Offline Reinforcement Learning
Haoran Xu
Li Jiang
Jianxiong Li
Xianyuan Zhan
OffRL
16
61
0
15 Oct 2022
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
22
4
0
11 Jul 2022
Offline Reinforcement Learning with Reverse Model-based Imagination
Offline Reinforcement Learning with Reverse Model-based Imagination
Jianhao Wang
Wenzhe Li
Haozhe Jiang
Guangxiang Zhu
Siyuan Li
Chongjie Zhang
OffRL
96
59
0
01 Oct 2021
1