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HIQL: Offline Goal-Conditioned RL with Latent States as Actions

HIQL: Offline Goal-Conditioned RL with Latent States as Actions

22 July 2023
Seohong Park
Dibya Ghosh
Benjamin Eysenbach
Sergey Levine
    OffRL
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Papers citing "HIQL: Offline Goal-Conditioned RL with Latent States as Actions"

21 / 21 papers shown
Title
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection
Chenran Zhao
Dianxi Shi
Mengzhu Wang
Jianqiang Xia
Huanhuan Yang
Songchang Jin
Shaowu Yang
Chunping Qiu
15
0
0
04 May 2025
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story
Vincenzo De Paola
Riccardo Zamboni
Mirco Mutti
Marcello Restelli
12
0
0
02 May 2025
Generative Trajectory Stitching through Diffusion Composition
Generative Trajectory Stitching through Diffusion Composition
Yunhao Luo
Utkarsh Aashu Mishra
Yilun Du
Danfei Xu
61
0
0
07 Mar 2025
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
Vivek Myers
Bill Chunyuan Zheng
Anca Dragan
Kuan Fang
Sergey Levine
58
0
0
08 Feb 2025
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Anthony Kobanda
Rémy Portelas
Odalric-Ambrym Maillard
Ludovic Denoyer
OffRL
CLL
72
0
0
19 Dec 2024
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Xin Liu
Yaran Chen
Haoran Li
SSL
87
0
0
14 Dec 2024
OGBench: Benchmarking Offline Goal-Conditioned RL
OGBench: Benchmarking Offline Goal-Conditioned RL
Seohong Park
Kevin Frans
Benjamin Eysenbach
Sergey Levine
OffRL
43
8
0
26 Oct 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Max Wilcoxson
Qiyang Li
Kevin Frans
Sergey Levine
SSL
OffRL
OnRL
54
0
0
23 Oct 2024
Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization
Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization
Guanlin Liu
Kaixuan Ji
Ning Dai
Zheng Wu
Chen Dun
Q. Gu
Lin Yan
Quanquan Gu
Lin Yan
OffRL
LRM
46
8
0
11 Oct 2024
Predictive Coding for Decision Transformer
Predictive Coding for Decision Transformer
T. Luu
Donghoon Lee
Chang D. Yoo
OffRL
45
1
0
04 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
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
Hyunseung Kim
ByungKun Lee
Hojoon Lee
Dongyoon Hwang
Donghu Kim
Jaegul Choo
37
1
0
01 Jun 2024
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
30
0
0
26 Sep 2023
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement
  Learning
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning
Jinning Li
Chen Tang
M. Tomizuka
Wei Zhan
OffRL
47
54
0
24 May 2022
Planning with Diffusion for Flexible Behavior Synthesis
Planning with Diffusion for Flexible Behavior Synthesis
Michael Janner
Yilun Du
J. Tenenbaum
Sergey Levine
DiffM
202
622
0
20 May 2022
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in
  Latent Space
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space
Kuan Fang
Patrick Yin
Ashvin Nair
Sergey Levine
OffRL
48
29
0
17 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
206
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
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline
  and Online RL
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour
Dale Schuurmans
S. Gu
OffRL
199
119
0
21 Jul 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
321
1,944
0
04 May 2020
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