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Meta Learning Shared Hierarchies

Meta Learning Shared Hierarchies

26 October 2017
Kevin Frans
Jonathan Ho
Xi Chen
Pieter Abbeel
John Schulman
ArXivPDFHTML

Papers citing "Meta Learning Shared Hierarchies"

50 / 74 papers shown
Title
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection
Chenran Zhao
Dianxi Shi
Mengzhu Wang
Jianqiang Xia
Huanhuan Yang
Songchang Jin
Shaowu Yang
Chunping Qiu
45
0
0
04 May 2025
UAS Visual Navigation in Large and Unseen Environments via a Meta Agent
UAS Visual Navigation in Large and Unseen Environments via a Meta Agent
Yuci Han
Charles Toth
Alper Yilmaz
59
0
0
20 Mar 2025
Scaling Artificial Intelligence for Digital Wargaming in Support of
  Decision-Making
Scaling Artificial Intelligence for Digital Wargaming in Support of Decision-Making
Scotty Black
Christian J. Darken
19
2
0
08 Feb 2024
Wasserstein Diversity-Enriched Regularizer for Hierarchical
  Reinforcement Learning
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning
Haorui Li
Jiaqi Liang
Linjing Li
D. Zeng
16
0
0
02 Aug 2023
Multi-Stage Cable Routing through Hierarchical Imitation Learning
Multi-Stage Cable Routing through Hierarchical Imitation Learning
Jianlan Luo
Charles Xu
Xinyang Geng
Gilbert Feng
Kuan Fang
L. Tan
S. Schaal
Sergey Levine
38
53
0
18 Jul 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
Taha Toghani
Sebastian Perez-Salazar
César A. Uribe
37
2
0
20 May 2023
Explaining Agent's Decision-making in a Hierarchical Reinforcement
  Learning Scenario
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario
Hugo Munoz
Ernesto Portugal
Angel Ayala
Bruno José Torres Fernandes
Francisco Cruz
26
0
0
14 Dec 2022
Assistive Teaching of Motor Control Tasks to Humans
Assistive Teaching of Motor Control Tasks to Humans
Megha Srivastava
Erdem Biyik
Suvir Mirchandani
Noah D. Goodman
Dorsa Sadigh
20
6
0
25 Nov 2022
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended
  Exploration
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
43
6
0
24 Nov 2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning
  for Skill Discovery
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
Félix Chalumeau
Raphael Boige
Bryan Lim
Valentin Macé
Maxime Allard
Arthur Flajolet
Antoine Cully
Thomas Pierrot
28
21
0
06 Oct 2022
Hierarchical Decentralized Deep Reinforcement Learning Architecture for
  a Simulated Four-Legged Agent
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent
W. Z. E. Amri
L. Hermes
M. Schilling
18
1
0
21 Sep 2022
Learning fast and agile quadrupedal locomotion over complex terrain
Learning fast and agile quadrupedal locomotion over complex terrain
Xu Chang
Zhitong Zhang
Honglei An
Hongxu Ma
Qing Wei
29
0
0
02 Jul 2022
Learning Neuro-Symbolic Skills for Bilevel Planning
Learning Neuro-Symbolic Skills for Bilevel Planning
Tom Silver
Ashay Athalye
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
37
59
0
21 Jun 2022
Meta-Learning Parameterized Skills
Meta-Learning Parameterized Skills
Haotian Fu
Shangqun Yu
Saket Tiwari
Michael Littman
George Konidaris
38
6
0
07 Jun 2022
Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional
  Reasoning Approach
Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach
Xubo Lyu
Amin Banitalebi-Dehkordi
Mo Chen
Yong Zhang
40
2
0
29 Mar 2022
Retrieval-Augmented Reinforcement Learning
Retrieval-Augmented Reinforcement Learning
Anirudh Goyal
A. Friesen
Andrea Banino
T. Weber
Nan Rosemary Ke
...
Michal Valko
Simon Osindero
Timothy Lillicrap
N. Heess
Charles Blundell
OffRL
32
53
0
17 Feb 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Chongkai Gao
Yizhou Jiang
F. Chen
30
8
0
28 Jan 2022
Learning Invariable Semantical Representation from Language for
  Extensible Policy Generalization
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization
Yihan Li
Jinsheng Ren
Tianrun Xu
Tianren Zhang
Haichuan Gao
Feng Chen
21
1
0
26 Jan 2022
Learning Two-Step Hybrid Policy for Graph-Based Interpretable
  Reinforcement Learning
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning
Tongzhou Mu
Kaixiang Lin
Fei Niu
Govind Thattai
OffRL
25
0
0
21 Jan 2022
Accelerating Robotic Reinforcement Learning via Parameterized Action
  Primitives
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Murtaza Dalal
Deepak Pathak
Ruslan Salakhutdinov
40
90
0
28 Oct 2021
Provable Hierarchy-Based Meta-Reinforcement Learning
Provable Hierarchy-Based Meta-Reinforcement Learning
Kurtland Chua
Qi Lei
Jason D. Lee
22
5
0
18 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot
  Learning
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning
Yang Shu
Zhangjie Cao
Jing Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
36
11
0
14 Oct 2021
Training Transition Policies via Distribution Matching for Complex Tasks
Training Transition Policies via Distribution Matching for Complex Tasks
Ju-Seung Byun
Andrew Perrault
13
6
0
08 Oct 2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for
  Strategic Diversity
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity
M. Garnelo
Wojciech M. Czarnecki
Siqi Liu
Dhruva Tirumala
Junhyuk Oh
Gauthier Gidel
H. V. Hasselt
David Balduzzi
34
25
0
08 Oct 2021
Hierarchical Primitive Composition: Simultaneous Activation of Skills
  with Inconsistent Action Dimensions in Multiple Hierarchies
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies
Jeong-Hoon Lee
Jongeun Choi
26
8
0
05 Oct 2021
Context-Specific Representation Abstraction for Deep Option Learning
Context-Specific Representation Abstraction for Deep Option Learning
Marwa Abdulhai
Dong-Ki Kim
Matthew D Riemer
Miao Liu
Gerald Tesauro
Jonathan P. How
OffRL
31
9
0
20 Sep 2021
Integrated and Adaptive Guidance and Control for Endoatmospheric
  Missiles via Reinforcement Learning
Integrated and Adaptive Guidance and Control for Endoatmospheric Missiles via Reinforcement Learning
B. Gaudet
R. Furfaro
31
8
0
08 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning
A Survey of Exploration Methods in Reinforcement Learning
Susan Amin
Maziar Gomrokchi
Harsh Satija
H. V. Hoof
Doina Precup
OffRL
34
80
0
01 Sep 2021
Adaptation-Agnostic Meta-Training
Adaptation-Agnostic Meta-Training
Jiaxin Chen
Li-Ming Zhan
Xiao-Ming Wu
K. F. Chung
37
0
0
24 Aug 2021
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement
  Learning
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning
N. Botteghi
L.J.L. Grefte
M. Poel
B. Sirmaçek
C. Brune
Edwin Dertien
Stefano Stramigioli
27
4
0
08 Jul 2021
Discovering Generalizable Skills via Automated Generation of Diverse
  Tasks
Discovering Generalizable Skills via Automated Generation of Diverse Tasks
Kuan Fang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
48
6
0
26 Jun 2021
The Option Keyboard: Combining Skills in Reinforcement Learning
The Option Keyboard: Combining Skills in Reinforcement Learning
André Barreto
Diana Borsa
Shaobo Hou
Gheorghe Comanici
Eser Aygun
...
Daniel Toyama
Jonathan J. Hunt
Shibl Mourad
David Silver
Doina Precup
38
98
0
24 Jun 2021
From Motor Control to Team Play in Simulated Humanoid Football
From Motor Control to Team Play in Simulated Humanoid Football
Siqi Liu
Guy Lever
Zhe Wang
J. Merel
S. M. Ali Eslami
...
Tuomas Haarnoja
Brendan D. Tracey
K. Tuyls
T. Graepel
N. Heess
31
130
0
25 May 2021
Hierarchical Reinforcement Learning for Air-to-Air Combat
Hierarchical Reinforcement Learning for Air-to-Air Combat
Adrian P. Pope
J. Ide
Daria Mićović
Henry Diaz
D. Rosenbluth
Lee Ritholtz
Jason C. Twedt
Thayne T. Walker
K. Alcedo
D. Javorsek
22
72
0
03 May 2021
BR-NS: an Archive-less Approach to Novelty Search
BR-NS: an Archive-less Approach to Novelty Search
Achkan Salehi
Alexandre Coninx
Stéphane Doncieux
31
6
0
08 Apr 2021
Discovery of Options via Meta-Learned Subgoals
Discovery of Options via Meta-Learned Subgoals
Vivek Veeriah
Tom Zahavy
Matteo Hessel
Zhongwen Xu
Junhyuk Oh
Iurii Kemaev
H. V. Hasselt
David Silver
Satinder Singh
29
33
0
12 Feb 2021
Learning Skills to Navigate without a Master: A Sequential Multi-Policy
  Reinforcement Learning Algorithm
Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm
Ambedkar Dukkipati
Rajarshi Banerjee
Ranga Shaarad Ayyagari
Dhaval Parmar Udaybhai
21
6
0
30 Jan 2021
Multi-expert learning of adaptive legged locomotion
Multi-expert learning of adaptive legged locomotion
Chuanyu Yang
Kai Yuan
Qiuguo Zhu
Wanming Yu
Zhibin Li
111
184
0
10 Dec 2020
Behavior Priors for Efficient Reinforcement Learning
Behavior Priors for Efficient Reinforcement Learning
Dhruva Tirumala
Alexandre Galashov
Hyeonwoo Noh
Leonard Hasenclever
Razvan Pascanu
...
Guillaume Desjardins
Wojciech M. Czarnecki
Arun Ahuja
Yee Whye Teh
N. Heess
37
39
0
27 Oct 2020
Data-efficient Hindsight Off-policy Option Learning
Data-efficient Hindsight Off-policy Option Learning
Markus Wulfmeier
Dushyant Rao
Roland Hafner
Thomas Lampe
A. Abdolmaleki
...
Michael Neunert
Dhruva Tirumala
Noah Y. Siegel
N. Heess
Martin Riedmiller
OffRL
31
47
0
30 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning
Contextualizing Enhances Gradient Based Meta Learning
Evan Vogelbaum
Rumen Dangovski
L. Jing
Marin Soljacic
34
3
0
17 Jul 2020
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive
  Locomotion Controller of a Hexapod Robot
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot
M. Schilling
Kai Konen
F. Ohl
Timo Korthals
24
18
0
21 May 2020
Scaling MAP-Elites to Deep Neuroevolution
Scaling MAP-Elites to Deep Neuroevolution
Cédric Colas
Joost Huizinga
Vashisht Madhavan
Jeff Clune
33
86
0
03 Mar 2020
Learning Functionally Decomposed Hierarchies for Continuous Control
  Tasks with Path Planning
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning
Sammy Christen
Lukás Jendele
Emre Aksan
Otmar Hilliges
OffRL
30
25
0
14 Feb 2020
Unsupervised Reinforcement Learning of Transferable Meta-Skills for
  Embodied Navigation
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li
Junfeng Fang
Siliang Tang
Haizhou Shi
Fei Wu
Yueting Zhuang
William Yang Wang
SSL
46
68
0
18 Nov 2019
Learning Fairness in Multi-Agent Systems
Learning Fairness in Multi-Agent Systems
Jiechuan Jiang
Zongqing Lu
16
69
0
31 Oct 2019
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary
  Rewards
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
Siyuan Li
Rui Wang
Minxue Tang
Chongjie Zhang
18
82
0
10 Oct 2019
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement
  Learning
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning
Tianyu Li
Nathan Lambert
Roberto Calandra
Franziska Meier
Akshara Rai
21
40
0
26 Sep 2019
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?
Ofir Nachum
Haoran Tang
Xingyu Lu
S. Gu
Honglak Lee
Sergey Levine
29
100
0
23 Sep 2019
Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied
  to Asteroid Close Proximity Operations
Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied to Asteroid Close Proximity Operations
B. Gaudet
R. Linares
R. Furfaro
18
33
0
13 Jul 2019
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