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World Model as a Graph: Learning Latent Landmarks for Planning

World Model as a Graph: Learning Latent Landmarks for Planning

25 November 2020
Lunjun Zhang
Ge Yang
Bradly C. Stadie
    DRL
ArXivPDFHTML

Papers citing "World Model as a Graph: Learning Latent Landmarks for Planning"

19 / 19 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
17
0
0
19 May 2025
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control
Haoran Wang
Yaoru Sun
Zeshen Tang
Haibo Shi
Chenyuan Jiao
32
0
0
12 Oct 2024
Hybrid Search for Efficient Planning with Completeness Guarantees
Hybrid Search for Efficient Planning with Completeness Guarantees
Kalle Kujanpää
Joni Pajarinen
Alexander Ilin
29
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
Goal-Conditioned Reinforcement Learning with Disentanglement-based
  Reachability Planning
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning
Zhifeng Qian
Mingyu You
Hongjun Zhou
Xuanhui Xu
Bin He
26
3
0
20 Jul 2023
Learning Achievement Structure for Structured Exploration in Domains
  with Sparse Reward
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward
Zihan Zhou
Animesh Garg
OffRL
22
3
0
30 Apr 2023
Neural Constraint Satisfaction: Hierarchical Abstraction for
  Combinatorial Generalization in Object Rearrangement
Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
Michael Chang
Alyssa Dayan
Franziska Meier
Thomas L. Griffiths
Sergey Levine
Amy Zhang
OCL
OffRL
27
9
0
20 Mar 2023
Estimation of User's World Model Using Graph2vec
Estimation of User's World Model Using Graph2vec
Tatsuya Sakai
Takayuki Nagai
19
2
0
10 Jan 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
Interaction Modeling with Multiplex Attention
Interaction Modeling with Multiplex Attention
Fan-Yun Sun
Isaac Kauvar
Ruohan Zhang
Jiachen Li
Mykel Kochenderfer
Jiajun Wu
Nick Haber
24
19
0
23 Aug 2022
Goal-Space Planning with Subgoal Models
Goal-Space Planning with Subgoal Models
Chun-Ping Lo
Kevin Roice
Parham Mohammad Panahi
Scott M. Jordan
Adam White
Gábor Mihucz
Farzane Aminmansour
Martha White
24
5
0
06 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
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Minghuan Liu
Menghui Zhu
Weinan Zhang
35
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
Planning from Pixels in Environments with Combinatorially Hard Search
  Spaces
Planning from Pixels in Environments with Combinatorially Hard Search Spaces
Marco Bagatella
Miroslav Olsák
Michal Rolínek
Georg Martius
OffRL
21
6
0
12 Oct 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Elliot Chane-Sane
Cordelia Schmid
Ivan Laptev
24
140
0
01 Jul 2021
A Framework of Explanation Generation toward Reliable Autonomous Robots
A Framework of Explanation Generation toward Reliable Autonomous Robots
Tatsuya Sakai
Kazuki Miyazawa
Takato Horii
Takayuki Nagai
16
8
0
06 May 2021
Explainable Autonomous Robots: A Survey and Perspective
Explainable Autonomous Robots: A Survey and Perspective
Tatsuya Sakai
Takayuki Nagai
20
67
0
06 May 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models
Rapid Exploration for Open-World Navigation with Latent Goal Models
Dhruv Shah
Benjamin Eysenbach
G. Kahn
Nicholas Rhinehart
Sergey Levine
29
70
0
12 Apr 2021
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