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1908.05451
Cited By
Mapping State Space using Landmarks for Universal Goal Reaching
Neural Information Processing Systems (NeurIPS), 2019
15 August 2019
Zhiao Huang
Fangchen Liu
Hao Su
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Papers citing
"Mapping State Space using Landmarks for Universal Goal Reaching"
39 / 39 papers shown
Incorporating Spatial Information into Goal-Conditioned Hierarchical Reinforcement Learning via Graph Representations
Shuyuan Zhang
Zihan Wang
Xiao-Wen Chang
Doina Precup
118
2
0
14 Nov 2025
Horizon Reduction Makes RL Scalable
Seohong Park
Kevin Frans
Deepinder Mann
Benjamin Eysenbach
Aviral Kumar
Sergey Levine
OffRL
700
23
0
04 Jun 2025
Flattening Hierarchies with Policy Bootstrapping
John L. Zhou
Jonathan C. Kao
OffRL
448
1
0
20 May 2025
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
Hongjoon Ahn
Heewoong Choi
Jisu Han
Taesup Moon
OffRL
352
4
0
19 May 2025
Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
International Conference on Agents and Artificial Intelligence (ICAART), 2025
Gavin B. Rens
282
0
0
03 Jan 2025
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps
Linfeng Zhao
Lawson L. S. Wong
393
2
0
16 Dec 2024
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
...
Masha Itkina
Benjamin Eysenbach
Sergey Levine
Thomas Kollar
Benjamin Burchfiel
386
9
0
26 Oct 2024
OGBench: Benchmarking Offline Goal-Conditioned RL
International Conference on Learning Representations (ICLR), 2024
Seohong Park
Kevin Frans
Benjamin Eysenbach
Sergey Levine
OffRL
563
103
0
26 Oct 2024
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control
Neural Networks (NN), 2024
Haoran Wang
Yaoru Sun
Zeshen Tang
Haibo Shi
Chenyuan Jiao
340
0
0
12 Oct 2024
Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies
Yu-Juan Luo
Fuchun Sun
Tianying Ji
Xianyuan Zhan
179
0
0
26 Jun 2024
SelfGoal: Your Language Agents Already Know How to Achieve High-level Goals
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Ruihan Yang
Jiangjie Chen
Yikai Zhang
Siyu Yuan
Aili Chen
Kyle Richardson
Yanghua Xiao
Deqing Yang
AI4CE
LM&Ro
364
19
0
07 Jun 2024
What Matters in Hierarchical Search for Combinatorial Reasoning Problems?
Michał Zawalski
Gracjan Góral
Michał Tyrolski
Emilia Wisnios
Franciszek Budrowski
Marek Cygan
Łukasz Kuciński
Piotr Miłoś
403
2
0
05 Jun 2024
A New View on Planning in Online Reinforcement Learning
Kevin Roice
Parham Mohammad Panahi
Scott M. Jordan
Adam White
Martha White
OffRL
327
0
0
03 Jun 2024
CQM: Curriculum Reinforcement Learning with a Quantized World Model
Neural Information Processing Systems (NeurIPS), 2023
Seungjae Lee
Daesol Cho
Jonghae Park
H. J. Kim
248
15
0
26 Oct 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
337
3
0
24 Sep 2023
Guide Your Agent with Adaptive Multimodal Rewards
Neural Information Processing Systems (NeurIPS), 2023
Changyeon Kim
Younggyo Seo
Hao Liu
Lisa Lee
Jinwoo Shin
Honglak Lee
Kimin Lee
446
12
0
19 Sep 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
Neural Information Processing Systems (NeurIPS), 2023
Seohong Park
Dibya Ghosh
Benjamin Eysenbach
Sergey Levine
OffRL
676
109
0
22 Jul 2023
Landmark Guided Active Exploration with State-specific Balance Coefficient
Fei Cui
Jiaojiao Fang
Mengke Yang
Guizhong Liu
190
0
0
30 Jun 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
258
16
0
20 Mar 2023
Fast exploration and learning of latent graphs with aliased observations
Miguel Lazaro-Gredilla
Ishani Deshpande
Siva K. Swaminathan
Meet Dave
Dileep George
376
5
0
13 Mar 2023
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
410
20
0
11 Oct 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
International Conference on Machine Learning (ICML), 2022
Jeewon Jeon
Woojun Kim
Whiyoung Jung
Young-Jin Sung
204
53
0
20 Jun 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
OffRL
290
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
421
9
0
06 Jun 2022
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
Christopher Hoang
Sungryull Sohn
Jongwook Choi
Wilka Carvalho
Honglak Lee
224
41
0
18 Nov 2021
Adjacency constraint for efficient hierarchical reinforcement learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Tianren Zhang
Shangqi Guo
Tian Tan
Xiao M Hu
Feng Chen
584
24
0
30 Oct 2021
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
Junsup Kim
Younggyo Seo
Jinwoo Shin
363
76
0
26 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
International Conference on Learning Representations (ICLR), 2021
Tianjun Zhang
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
Joseph E. Gonzalez
OffRL
235
18
0
22 Oct 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
238
87
0
16 Sep 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
Sungryull Sohn
Sungtae Lee
Jongwook Choi
H. V. Seijen
Mehdi Fatemi
Honglak Lee
613
8
0
13 Jul 2021
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps
Conference on Robot Learning (CoRL), 2021
Chengguang Xu
Chris Amato
Lawson L. S. Wong
102
8
0
07 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2021
A. Aubret
L. Matignon
S. Hassas
204
12
0
06 Jun 2021
World Model as a Graph: Learning Latent Landmarks for Planning
International Conference on Machine Learning (ICML), 2020
Lunjun Zhang
Ge Yang
Bradly C. Stadie
DRL
319
89
0
25 Nov 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks
Hao Tang
Zhiao Huang
Jiayuan Gu
Bao-Liang Lu
Hao Su
AI4CE
194
11
0
26 Oct 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
Tianren Zhang
Shangqi Guo
Tian Tan
Xiaolin Hu
Feng Chen
477
102
0
20 Jun 2020
Sparse Graphical Memory for Robust Planning
Neural Information Processing Systems (NeurIPS), 2020
Scott Emmons
Ajay Jain
Michael Laskin
Thanard Kurutach
Pieter Abbeel
Deepak Pathak
397
56
0
13 Mar 2020
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation
Huazhe Xu
Boyuan Chen
Yang Gao
Trevor Darrell
OffRL
254
2
0
17 Oct 2019
Multi-task Batch Reinforcement Learning with Metric Learning
Jiachen Li
Q. Vuong
Shuang Liu
Minghua Liu
K. Ciosek
George Andriopoulos
Henrik I. Christensen
H. Su
OffRL
356
2
0
25 Sep 2019
Exploration via Hindsight Goal Generation
Neural Information Processing Systems (NeurIPS), 2019
Zhizhou Ren
Kefan Dong
Yuanshuo Zhou
Qiang Liu
Jian-wei Peng
368
104
0
10 Jun 2019
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