Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1805.08296
Cited By
Data-Efficient Hierarchical Reinforcement Learning
21 May 2018
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Data-Efficient Hierarchical Reinforcement Learning"
50 / 156 papers shown
Title
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
Xinyue Wang
Zhen Zhang
OffRL
CML
29
0
0
13 May 2025
Let Humanoids Hike! Integrative Skill Development on Complex Trails
Kwan-Yee Lin
Stella X.Yu
29
0
0
09 May 2025
Hierarchical Reinforcement Learning in Multi-Goal Spatial Navigation with Autonomous Mobile Robots
Brendon Johnson
Alfredo Weitzenfeld
24
0
0
26 Apr 2025
Controllable Latent Diffusion for Traffic Simulation
Yizhuo Xiao
Mustafa Suphi Erden
Cheng Wang
46
0
0
14 Mar 2025
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
Zijing Hu
Fengda Zhang
Long Chen
Kun Kuang
Jiahui Li
Kaifeng Gao
Jun Xiao
X. Wang
Wenwu Zhu
EGVM
56
0
0
14 Mar 2025
Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning
Meng Feng
Viraj Parimi
B. Williams
69
1
0
25 Feb 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
Xuyang Li
Romit Maulik
43
0
0
24 Feb 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models
Xintong Duan
Yutong He
Fahim Tajwar
Wen-Tse Chen
Ruslan Salakhutdinov
Jeff Schneider
OffRL
AI4CE
99
0
0
22 Jan 2025
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning
Utsav Singh
Souradip Chakraborty
Wesley A Suttle
Brian M. Sadler
Vinay P. Namboodiri
Amrit Singh Bedi
OffRL
53
0
0
03 Jan 2025
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations
Amirhossein Mesbah
Reshad Hosseini
Seyed Pooya Shariatpanahi
M. N. Ahmadabadi
72
0
0
21 Dec 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Max Wilcoxson
Qiyang Li
Kevin Frans
Sergey Levine
SSL
OffRL
OnRL
57
0
0
23 Oct 2024
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search
Hanwen Du
B. Peng
Xia Ning
38
0
0
12 Oct 2024
SEAL: SEmantic-Augmented Imitation Learning via Language Model
Chengyang Gu
Yuxin Pan
Haotian Bai
Hui Xiong
Yize Chen
27
0
0
03 Oct 2024
COHERENT: Collaboration of Heterogeneous Multi-Robot System with Large Language Models
Kehui Liu
Zixin Tang
Dong Wang
Zhilin Wang
Bin Zhao
Bin Zhao
38
11
0
23 Sep 2024
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics
Yixuan Huang
Christopher Agia
Jimmy Wu
Tucker Hermans
Jeannette Bohg
3DPC
49
1
0
27 Aug 2024
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning
Georgios Bakirtzis
M. Savvas
Ruihan Zhao
Sandeep P. Chinchali
Ufuk Topcu
36
2
0
23 Aug 2024
Coordinating Planning and Tracking in Layered Control Policies via Actor-Critic Learning
Fengjun Yang
Nikolai Matni
OffRL
31
0
0
03 Aug 2024
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning
Utsav Singh
Pramit Bhattacharyya
Vinay P. Namboodiri
LM&Ro
47
1
0
09 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
47
0
0
05 Jun 2024
Effective Reinforcement Learning Based on Structural Information Principles
Xianghua Zeng
Hao Peng
Dingli Su
Angsheng Li
40
0
0
15 Apr 2024
Task-priority Intermediated Hierarchical Distributed Policies: Reinforcement Learning of Adaptive Multi-robot Cooperative Transport
Yusei Naito
Tomohiko Jimbo
Tadashi Odashima
Takamitsu Matsubara
36
1
0
02 Apr 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
Tianying Ji
Yongyuan Liang
Yan Zeng
Yu-Juan Luo
Guowei Xu
Jiawei Guo
Ruijie Zheng
Furong Huang
Gang Hua
Huazhe Xu
CML
48
11
0
22 Feb 2024
Enhancing Reinforcement Learning Agents with Local Guides
Paul Daoudi
Bogdan Robu
Christophe Prieur
Ludovic Dos Santos
M. Barlier
OnRL
31
3
0
21 Feb 2024
TopoNav: Topological Navigation for Efficient Exploration in Sparse Reward Environments
Jumman Hossain
A. Faridee
Nirmalya Roy
Jade Freeman
Timothy Gregory
Theron T. Trout
28
3
0
06 Feb 2024
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning
Guojian Wang
Faguo Wu
Xiao Zhang
Ning Guo
Zhiming Zheng
28
3
0
27 Dec 2023
LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments
Federico Ceola
Lorenzo Natale
Niko Sünderhauf
Krishan Rana
LM&Ro
32
1
0
19 Dec 2023
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
Min Hua
Dong Chen
Xinda Qi
Kun Jiang
Z. Liu
Quan Zhou
Hongming Xu
23
10
0
18 Dec 2023
Interpretable Reinforcement Learning for Robotics and Continuous Control
Rohan R. Paleja
Letian Chen
Yaru Niu
Andrew Silva
Zhaoxin Li
...
K. Chang
H. E. Tseng
Yan Wang
S. Nageshrao
Matthew C. Gombolay
31
7
0
16 Nov 2023
ADaPT: As-Needed Decomposition and Planning with Language Models
Archiki Prasad
Alexander Koller
Mareike Hartmann
Peter Clark
Ashish Sabharwal
Mohit Bansal
Tushar Khot
LM&Ro
29
76
0
08 Nov 2023
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
Paul Mattes
Rainer Schlosser
R. Herbrich
21
4
0
08 Oct 2023
Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior
Ruihan Yang
Zhuoqun Chen
Jianhan Ma
Chongyi Zheng
Yiyu Chen
Quan Nguyen
Qing Guo
37
17
0
02 Oct 2023
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi
R. Alizadehsani
D. Nahavandi
Chee Peng Lim
Kevin Kelly
Fernando Bello
24
17
0
22 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
David Yunis
Justin Jung
Falcon Z. Dai
Matthew R. Walter
OffRL
39
0
0
08 Sep 2023
Dyadic Reinforcement Learning
Shuangning Li
L. Niell
S. Choi
Inbal Nahum-Shani
Guy Shani
Susan Murphy
OffRL
23
1
0
15 Aug 2023
Hierarchical generative modelling for autonomous robots
Kai Yuan
Noor Sajid
Karl J. Friston
Zhibin Li
29
12
0
15 Aug 2023
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning
Haorui Li
Jiaqi Liang
Linjing Li
D. Zeng
11
0
0
02 Aug 2023
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning
Xuechen Mu
H. Zhuo
Cheng Chen
Kai Zhang
Chao Yu
Jianye Hao
35
1
0
14 Jun 2023
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward
Zihan Zhou
Animesh Garg
OffRL
16
3
0
30 Apr 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction
Utsav Singh
Vinay P. Namboodiri
31
3
0
07 Apr 2023
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
E. Ponti
MoMe
OOD
32
73
0
22 Feb 2023
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation
Jing-Cheng Pang
Xinyi Yang
Sibei Yang
Yang Yu
29
8
0
18 Feb 2023
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
122
0
19 Jan 2023
A Constrained-Optimization Approach to the Execution of Prioritized Stacks of Learned Multi-Robot Tasks
Gennaro Notomista
17
2
0
13 Jan 2023
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance
Kelvin Xu
Zheyuan Hu
Ria Doshi
Aaron Rovinsky
Vikash Kumar
Abhishek Gupta
Sergey Levine
16
19
0
19 Dec 2022
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents
Minghuan Liu
Zhengbang Zhu
Menghui Zhu
Yuzheng Zhuang
Weinan Zhang
Jianye Hao
18
0
0
18 Dec 2022
Cross-Domain Transfer via Semantic Skill Imitation
Karl Pertsch
Ruta Desai
Vikash Kumar
Franziska Meier
Joseph J. Lim
Dhruv Batra
Akshara Rai
LM&Ro
8
18
0
14 Dec 2022
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization
Xiaodong Li
Pangjing Wu
Chenxin Zou
Qing Li
24
3
0
11 Dec 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
C. Chang
Ni Mu
Jiajun Wu
Ling Pan
Huazhe Xu
50
7
0
05 Dec 2022
Planning Irregular Object Packing via Hierarchical Reinforcement Learning
Sichao Huang
Ziwei Wang
Jie Zhou
Jiwen Lu
18
18
0
17 Nov 2022
1
2
3
4
Next