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Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks
  via Visual Subgoal Generation

Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation

12 September 2019
Suraj Nair
Chelsea Finn
    VGen
ArXivPDFHTML

Papers citing "Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation"

28 / 28 papers shown
Title
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
Hongjoon Ahn
Heewoong Choi
Jisu Han
Taesup Moon
OffRL
7
0
0
19 May 2025
Symbolically-Guided Visual Plan Inference from Uncurated Video Data
Symbolically-Guided Visual Plan Inference from Uncurated Video Data
Wenyan Yang
Ahmet Tikna
Yi Zhao
Yuying Zhang
Luigi Palopoli
Marco Roveri
Joni Pajarinen
VGen
26
0
0
13 May 2025
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations
Amirhossein Mesbah
Reshad Hosseini
Seyed Pooya Shariatpanahi
M. N. Ahmadabadi
77
0
0
21 Dec 2024
SEAL: SEmantic-Augmented Imitation Learning via Language Model
SEAL: SEmantic-Augmented Imitation Learning via Language Model
Chengyang Gu
Yuxin Pan
Haotian Bai
Hui Xiong
Yize Chen
27
0
0
03 Oct 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
72
0
0
14 Aug 2024
Building Open-Ended Embodied Agent via Language-Policy Bidirectional
  Adaptation
Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation
Shaopeng Zhai
Jie Wang
Tianyi Zhang
Fuxian Huang
Qi Zhang
Ming Zhou
Jing Hou
Yu Qiao
Yu Liu
LLMAG
LM&Ro
37
1
0
12 Dec 2023
Hybrid Search for Efficient Planning with Completeness Guarantees
Hybrid Search for Efficient Planning with Completeness Guarantees
Kalle Kujanpää
Joni Pajarinen
Alexander Ilin
27
3
0
19 Oct 2023
Universal Visual Decomposer: Long-Horizon Manipulation Made Easy
Universal Visual Decomposer: Long-Horizon Manipulation Made Easy
Zichen Zhang
Yunshuang Li
Osbert Bastani
Abhishek Gupta
Dinesh Jayaraman
Yecheng Jason Ma
Luca Weihs
37
17
0
12 Oct 2023
Hieros: Hierarchical Imagination on Structured State Space Sequence
  World Models
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models
Paul Mattes
Rainer Schlosser
R. Herbrich
21
4
0
08 Oct 2023
Discrete Factorial Representations as an Abstraction for Goal
  Conditioned Reinforcement Learning
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning
Riashat Islam
Hongyu Zang
Anirudh Goyal
Alex Lamb
Kenji Kawaguchi
Xin-hui Li
Romain Laroche
Yoshua Bengio
Rémi Tachet des Combes
OffRL
AI4CE
23
9
0
01 Nov 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon
  Manipulation
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation
Shuo Cheng
Danfei Xu
54
37
0
23 Oct 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Erick Rosete-Beas
Oier Mees
Gabriel Kalweit
Joschka Boedecker
Wolfram Burgard
OffRL
33
81
0
19 Sep 2022
A Survey on Model-based Reinforcement Learning
A Survey on Model-based Reinforcement Learning
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
50
101
0
19 Jun 2022
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal
  Search
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
Michał Zawalski
Michał Tyrolski
K. Czechowski
Tomasz Odrzygó'zd'z
Damian Stachura
Piotr Pikekos
Yuhuai Wu
Lukasz Kuciñski
Piotr Milo's
LRM
21
8
0
01 Jun 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
58
29
0
17 May 2022
Can Foundation Models Perform Zero-Shot Task Specification For Robot
  Manipulation?
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?
Yuchen Cui
S. Niekum
Abhi Gupta
Vikash Kumar
Aravind Rajeswaran
LM&Ro
30
74
0
23 Apr 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Minghuan Liu
Menghui Zhu
Weinan Zhang
33
132
0
20 Jan 2022
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Beining Han
Chongyi Zheng
Harris Chan
Keiran Paster
Michael Ruogu Zhang
Jimmy Ba
OOD
AI4CE
20
13
0
27 Oct 2021
RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric
  Programming For Task And Motion Planning
RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning
Cornelius V. Braun
Joaquim Ortiz de Haro
Marc Toussaint
Ozgur S. Oguz
13
17
0
07 Oct 2021
Example-Driven Model-Based Reinforcement Learning for Solving
  Long-Horizon Visuomotor Tasks
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks
Bohan Wu
Suraj Nair
Li Fei-Fei
Chelsea Finn
OffRL
LM&Ro
38
24
0
21 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and
  Crowd-Sourced Annotation
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
Suraj Nair
E. Mitchell
Kevin Chen
Brian Ichter
Silvio Savarese
Chelsea Finn
LM&Ro
OffRL
37
154
0
02 Sep 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of
  Sparse Reward Iterative Tasks
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks
Albert Wilcox
Ashwin Balakrishna
Brijen Thananjeyan
Joseph E. Gonzalez
Ken Goldberg
29
11
0
10 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Elliot Chane-Sane
Cordelia Schmid
Ivan Laptev
21
140
0
01 Jul 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video
  Prediction
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
Bohan Wu
Suraj Nair
Roberto Martin-Martin
Li Fei-Fei
Chelsea Finn
DRL
27
99
0
06 Mar 2021
COG: Connecting New Skills to Past Experience with Offline Reinforcement
  Learning
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Avi Singh
Albert Yu
Jonathan Yang
Jesse Zhang
Aviral Kumar
Sergey Levine
SSL
OffRL
OnRL
35
103
0
27 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
30
39
0
04 Oct 2020
Keyframing the Future: Keyframe Discovery for Visual Prediction and
  Planning
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning
Karl Pertsch
Oleh Rybkin
Jingyun Yang
Shenghao Zhou
Konstantinos G. Derpanis
Kostas Daniilidis
Joseph J. Lim
Andrew Jaegle
VGen
42
24
0
11 Apr 2019
Transferring End-to-End Visuomotor Control from Simulation to Real World
  for a Multi-Stage Task
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James
Andrew J. Davison
Edward Johns
162
275
0
07 Jul 2017
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