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World Model as a Graph: Learning Latent Landmarks for Planning
International Conference on Machine Learning (ICML), 2020
25 November 2020
Lunjun Zhang
Ge Yang
Bradly C. Stadie
DRL
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Papers citing
"World Model as a Graph: Learning Latent Landmarks for Planning"
50 / 51 papers shown
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Subgoal-Guided Policy Heuristic Search with Learned Subgoals
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Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
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Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
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Guofeng Cui
He Zhu
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433
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GHIL-Glue: Hierarchical Control with Filtered Subgoal Images
IEEE International Conference on Robotics and Automation (ICRA), 2024
Kyle Hatch
Ashwin Balakrishna
Oier Mees
Suraj Nair
Seohong Park
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Masha Itkina
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Sergey Levine
Thomas Kollar
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402
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Yaoru Sun
Zeshen Tang
Haibo Shi
Chenyuan Jiao
354
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12 Oct 2024
Making Large Language Models into World Models with Precondition and Effect Knowledge
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Kaige Xie
Ian Yang
John Gunerli
Mark Riedl
312
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18 Sep 2024
Offline Imitation Learning Through Graph Search and Retrieval
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Pieter Abbeel
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291
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A New View on Planning in Online Reinforcement Learning
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Parham Mohammad Panahi
Scott M. Jordan
Adam White
Martha White
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339
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World Models for Autonomous Driving: An Initial Survey
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Haicheng Liao
Zhenning Li
Jia Hu
Runze Yuan
Yunjian Li
Guohui Zhang
Chengzhong Xu
527
99
0
05 Mar 2024
Learning Top-k Subtask Planning Tree based on Discriminative Representation Pre-training for Decision Making
Jingqing Ruan
Kaishen Wang
Qingyang Zhang
Dengpeng Xing
Bo Xu
286
1
0
18 Dec 2023
CQM: Curriculum Reinforcement Learning with a Quantized World Model
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Seungjae Lee
Daesol Cho
Jonghae Park
H. J. Kim
256
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26 Oct 2023
Hybrid Search for Efficient Planning with Completeness Guarantees
Kalle Kujanpää
Joni Pajarinen
Alexander Ilin
311
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19 Oct 2023
Universal Visual Decomposer: Long-Horizon Manipulation Made Easy
IEEE International Conference on Robotics and Automation (ICRA), 2023
Zichen Zhang
Yunshuang Li
Osbert Bastani
Abhishek Gupta
Dinesh Jayaraman
Yecheng Jason Ma
Luca Weihs
331
27
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12 Oct 2023
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Mingde Zhao
Safa Alver
H. V. Seijen
Romain Laroche
Doina Precup
Yoshua Bengio
547
5
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30 Sep 2023
Guided Cooperation in Hierarchical Reinforcement Learning via Model-based Rollout
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Haoran Wang
Zeshen Tang
Leya Yang
Yaoru Sun
Fang Wang
Siyu Zhang
Ye-Ting Chen
342
3
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24 Sep 2023
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Qingyang Zhang
Yiming Yang
Jingqing Ruan
Xuantang Xiong
Dengpeng Xing
Bo Xu
295
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22 Jul 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
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Seohong Park
Dibya Ghosh
Benjamin Eysenbach
Sergey Levine
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686
112
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22 Jul 2023
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning
IEEE Robotics and Automation Letters (RA-L), 2023
Zhifeng Qian
Mingyu You
Hongjun Zhou
Xuanhui Xu
Bin He
322
6
0
20 Jul 2023
Landmark Guided Active Exploration with State-specific Balance Coefficient
Fei Cui
Jiaojiao Fang
Mengke Yang
Guizhong Liu
201
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30 Jun 2023
Towards Generalist Robots: A Promising Paradigm via Generative Simulation
Zhou Xian
Théophile Gervet
Zhenjia Xu
Yi-Ling Qiao
Tsun-Hsuan Wang
Yian Wang
LM&Ro
380
15
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17 May 2023
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward
International Conference on Learning Representations (ICLR), 2023
Zihan Zhou
Animesh Garg
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306
4
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30 Apr 2023
Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
Michael Chang
Alyssa Dayan
Franziska Meier
Thomas Griffiths
Sergey Levine
Amy Zhang
OCL
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314
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20 Mar 2023
Imitating Graph-Based Planning with Goal-Conditioned Policies
International Conference on Learning Representations (ICLR), 2023
Junsup Kim
Younggyo Seo
SungSoo Ahn
Kyunghwan Son
Jinwoo Shin
273
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0
20 Mar 2023
Goal-conditioned Offline Reinforcement Learning through State Space Partitioning
Machine-mediated learning (ML), 2023
Mianchu Wang
Yue Jin
Giovanni Montana
OffRL
188
4
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16 Mar 2023
Graph schemas as abstractions for transfer learning, inference, and planning
J. S. Guntupalli
Rajkumar Vasudeva Raju
Shrinu Kushagra
Carter Wendelken
Daniel P. Sawyer
Ishani Deshpande
Guangyao Zhou
Miguel Lazaro-Gredilla
Dileep George
319
14
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14 Feb 2023
Estimation of User's World Model Using Graph2vec
Tatsuya Sakai
Takayuki Nagai
229
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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
275
13
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01 Nov 2022
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Seungjae Lee
Jigang Kim
Inkyu Jang
H. J. Kim
OffRL
464
21
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Understanding Hindsight Goal Relabeling from a Divergence Minimization Perspective
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Bradly C. Stadie
265
1
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Interaction Modeling with Multiplex Attention
Neural Information Processing Systems (NeurIPS), 2022
Fan-Yun Sun
Isaac Kauvar
Ruohan Zhang
Jiachen Li
Mykel Kochenderfer
Jiajun Wu
Nick Haber
194
25
0
23 Aug 2022
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning
International Conference on Learning Representations (ICLR), 2022
Deyao Zhu
Erran L. Li
Mohamed Elhoseiny
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294
13
0
09 Jun 2022
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
440
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06 Jun 2022
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
International Conference on Learning Representations (ICLR), 2022
Michał Zawalski
Michał Tyrolski
K. Czechowski
Tomasz Odrzygó'zd'z
Damian Stachura
Piotr Pikekos
Yuhuai Wu
Lukasz Kuciñski
Piotr Milo's
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637
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A Fully Controllable Agent in the Path Planning using Goal-Conditioned Reinforcement Learning
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188
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Topological Experience Replay
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Zhang-Wei Hong
Tao Chen
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Pulkit Agrawal
301
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Goal-Conditioned Reinforcement Learning: Problems and Solutions
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Minghuan Liu
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416
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Learning Domain Invariant Representations in Goal-conditioned Block MDPs
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Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
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Planning from Pixels in Environments with Combinatorially Hard Search Spaces
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Subgoal Search For Complex Reasoning Tasks
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Tomasz Odrzygó'zd'z
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DisTop: Discovering a Topological representation to learn diverse and rewarding skills
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288
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652
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