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2101.06521
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Hierarchical Reinforcement Learning By Discovering Intrinsic Options
International Conference on Learning Representations (ICLR), 2021
16 January 2021
Jesse Zhang
Haonan Yu
Wenyuan Xu
BDL
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Papers citing
"Hierarchical Reinforcement Learning By Discovering Intrinsic Options"
49 / 49 papers shown
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João F. Henriques
273
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Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
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Yifei Zhang
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173
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298
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Waypoint-Based Reinforcement Learning for Robot Manipulation Tasks
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229
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351
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421
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30 Dec 2023
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution
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Yao Mu
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Masayoshi Tomizuka
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Ping Luo
504
70
0
18 Dec 2023
ADaPT: As-Needed Decomposition and Planning with Language Models
Archiki Prasad
Alexander Koller
Mareike Hartmann
Peter Clark
Ashish Sabharwal
Mohit Bansal
Tushar Khot
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316
161
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08 Nov 2023
Learning to Discover Skills through Guidance
Neural Information Processing Systems (NeurIPS), 2023
Hyunseung Kim
ByungKun Lee
Hojoon Lee
Dongyoon Hwang
Sejik Park
Kyushik Min
Jaegul Choo
401
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31 Oct 2023
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models
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Yan Song
Xinyu Cui
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Haifeng Zhang
D. Mguni
Jun Wang
LRM
405
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27 Oct 2023
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Shenzhi Wang
Qisen Yang
Jiawei Gao
Matthieu Lin
Hao Chen
Liwei Wu
Ning Jia
Shiji Song
Gao Huang
OffRL
362
28
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27 Oct 2023
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
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Jiahui Zhang
Karl Pertsch
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Xiang Ren
Minsuk Chang
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Joseph J Lim
LLMAG
LM&Ro
490
87
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16 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
International Conference on Learning Representations (ICLR), 2023
Seohong Park
Oleh Rybkin
Sergey Levine
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415
78
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13 Oct 2023
Machine Learning Meets Advanced Robotic Manipulation
Information Fusion (Inf. Fusion), 2023
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R. Alizadehsani
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Chee Peng Lim
Kevin Kelly
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256
26
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22 Sep 2023
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning
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Sreehari Rammohan
A. Allievi
S. Niekum
George Konidaris
259
6
0
06 Jul 2023
Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks
Social Science Research Network (SSRN), 2023
Christopher W. F. Parsonson
Zacharaya Shabka
Alessandro Ottino
G. Zervas
260
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0
31 Jan 2023
Self-Activating Neural Ensembles for Continual Reinforcement Learning
Sam Powers
Eliot Xing
Abhinav Gupta
KELM
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296
7
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31 Dec 2022
SHIRO: Soft Hierarchical Reinforcement Learning
Kandai Watanabe
Mathew Strong
Omer Eldar
210
1
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24 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
225
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0
18 Dec 2022
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control
Xiang Zheng
Jiabo He
Cong Wang
254
2
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28 Nov 2022
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration
Giulia Vezzani
Dhruva Tirumala
Markus Wulfmeier
Dushyant Rao
A. Abdolmaleki
...
Tim Hertweck
Thomas Lampe
Fereshteh Sadeghi
N. Heess
Martin Riedmiller
OffRL
335
9
0
24 Nov 2022
Emergency action termination for immediate reaction in hierarchical reinforcement learning
Michal Bortkiewicz
Jakub Lyskawa
Pawel Wawrzyñski
M. Ostaszewski
Artur Grudkowski
Tomasz Trzciñski
174
0
0
11 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey
Zhihui Xie
Zichuan Lin
Junyou Li
Shuai Li
Deheng Ye
OffRL
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AI4CE
251
31
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08 Nov 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
277
53
0
19 Sep 2022
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning
Conference on Robot Learning (CoRL), 2022
Jan Achterhold
Markus Krimmel
Joerg Stueckler
352
11
0
11 Jul 2022
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
Andrew C. Li
Pashootan Vaezipoor
Rodrigo Toro Icarte
Sheila A. McIlraith
OffRL
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174
5
0
03 Jun 2022
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning
Ugo Lecerf
Christelle Yemdji Tchassi
Pietro Michiardi
192
1
0
13 Apr 2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
International Conference on Machine Learning (ICML), 2022
Minghuan Liu
Zhengbang Zhu
Yuzheng Zhuang
Weinan Zhang
Jianye Hao
Yong Yu
Jun Wang
367
13
0
04 Mar 2022
LISA: Learning Interpretable Skill Abstractions from Language
Neural Information Processing Systems (NeurIPS), 2022
Divyansh Garg
Skanda Vaidyanath
Kuno Kim
Jiaming Song
Stefano Ermon
LM&Ro
OffRL
692
35
0
28 Feb 2022
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization
Pamul Yadav
Ashutosh Mishra
Junyong Lee
Shiho Kim
OffRL
AI4CE
316
14
0
17 Feb 2022
Lipschitz-constrained Unsupervised Skill Discovery
International Conference on Learning Representations (ICLR), 2022
Seohong Park
Jongwook Choi
Jaekyeom Kim
Honglak Lee
Gunhee Kim
331
68
0
02 Feb 2022
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies
Dushyant Rao
Fereshteh Sadeghi
Leonard Hasenclever
Markus Wulfmeier
Martina Zambelli
...
Dhruva Tirumala
Y. Aytar
J. Merel
N. Heess
R. Hadsell
285
33
0
09 Dec 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
International Conference on Learning Representations (ICLR), 2021
Dhruv Shah
Peng Xu
Yao Lu
Ted Xiao
Alexander Toshev
Sergey Levine
Brian Ichter
OffRL
284
49
0
04 Nov 2021
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
Pierre-Alexandre Kamienny
Jean Tarbouriech
Sylvain Lamprier
A. Lazaric
Ludovic Denoyer
SSL
433
23
0
27 Oct 2021
Hierarchical Skills for Efficient Exploration
Neural Information Processing Systems (NeurIPS), 2021
Jonas Gehring
Gabriel Synnaeve
Andreas Krause
Nicolas Usunier
282
48
0
20 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Zhiwei Xu
Yunpeng Bai
Bin Zhang
Dapeng Li
Guoliang Fan
377
44
0
14 Oct 2021
HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning
Willie McClinton
Andrew Levy
George Konidaris
125
5
0
12 Aug 2021
Unsupervised Skill Discovery with Bottleneck Option Learning
International Conference on Machine Learning (ICML), 2021
Jaekyeom Kim
Seohong Park
Gunhee Kim
265
39
0
27 Jun 2021
TAAC: Temporally Abstract Actor-Critic for Continuous Control
Neural Information Processing Systems (NeurIPS), 2021
Haonan Yu
Wei Xu
Haichao Zhang
OffRL
235
26
0
13 Apr 2021
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Jinxin Liu
Xuetao Zhang
Qiangxing Tian
Ruihao Zhang
329
26
0
11 Apr 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
Neural Information Processing Systems (NeurIPS), 2021
Yichen Yang
J. Inala
Osbert Bastani
Yewen Pu
Armando Solar-Lezama
Martin Rinard
310
12
0
22 Feb 2021
Dynamic Subgoal-based Exploration via Bayesian Optimization
Yijia Wang
Matthias Poloczek
Daniel R. Jiang
460
4
0
21 Oct 2019
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