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Hierarchical Deep Reinforcement Learning: Integrating Temporal
  Abstraction and Intrinsic Motivation
v1v2 (latest)

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation

20 April 2016
Tejas D. Kulkarni
Karthik Narasimhan
A. Saeedi
J. Tenenbaum
ArXiv (abs)PDFHTML

Papers citing "Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation"

50 / 493 papers shown
Title
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
Giambattista Parascandolo
Lars Buesing
J. Merel
Leonard Hasenclever
John Aslanides
Jessica B. Hamrick
N. Heess
Alexander Neitz
T. Weber
60
31
0
23 Apr 2020
Flexible and Efficient Long-Range Planning Through Curious Exploration
Flexible and Efficient Long-Range Planning Through Curious Exploration
Aidan Curtis
Minjian Xin
Dilip Arumugam
Kevin T. Feigelis
Daniel L. K. Yamins
36
6
0
22 Apr 2020
Goal-conditioned Batch Reinforcement Learning for Rotation Invariant
  Locomotion
Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion
Aditi Mavalankar
OffRL
59
7
0
17 Apr 2020
Reinforcement Learning via Reasoning from Demonstration
Reinforcement Learning via Reasoning from Demonstration
Lisa A. Torrey
45
1
0
12 Apr 2020
Uniform State Abstraction For Reinforcement Learning
Uniform State Abstraction For Reinforcement Learning
John Burden
D. Kudenko
8
2
0
06 Apr 2020
Meta-learning curiosity algorithms
Meta-learning curiosity algorithms
Ferran Alet
Martin Schneider
Tomas Lozano-Perez
L. Kaelbling
99
64
0
11 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer
Hierarchically Decoupled Imitation for Morphological Transfer
D. Hejna
Pieter Abbeel
Lerrel Pinto
LM&Ro
77
43
0
03 Mar 2020
Efficient Exploration in Constrained Environments with Goal-Oriented
  Reference Path
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path
Keita Ota
Y. Sasaki
Devesh K. Jha
Yusuke Yoshiyasu
Asako Kanezaki
110
18
0
03 Mar 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement
  Learning Framework
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework
Ngoc Duy Nguyen
Thanh Thi Nguyen
Hai V. Nguyen
Doug Creighton
S. Nahavandi
166
4
0
27 Feb 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled
  Exploration
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration
Hoang Trung-Dung
Yitao Liang
Guy Van den Broeck
OffRL
71
3
0
25 Feb 2020
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
Ashley D. Edwards
Himanshu Sahni
Rosanne Liu
Jane Hung
Ankit Jain
Rui Wang
Adrien Ecoffet
Thomas Miconi
Charles Isbell
J. Yosinski
OffRL
48
18
0
21 Feb 2020
Learn to Design the Heuristics for Vehicle Routing Problem
Learn to Design the Heuristics for Vehicle Routing Problem
Lei Gao
Mingxiang Chen
Qichang Chen
Ganzhong Luo
Nuoyi Zhu
Zhixin Liu
58
52
0
20 Feb 2020
Investigating Simple Object Representations in Model-Free Deep
  Reinforcement Learning
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning
Guy Davidson
Brenden M. Lake
OCLOffRL
39
10
0
16 Feb 2020
Neuro-evolutionary Frameworks for Generalized Learning Agents
Neuro-evolutionary Frameworks for Generalized Learning Agents
Thommen George Karimpanal
22
1
0
04 Feb 2020
Effective Diversity in Population Based Reinforcement Learning
Effective Diversity in Population Based Reinforcement Learning
Jack Parker-Holder
Aldo Pacchiano
K. Choromanski
Stephen J. Roberts
130
165
0
03 Feb 2020
Weakly Supervised Video Summarization by Hierarchical Reinforcement
  Learning
Weakly Supervised Video Summarization by Hierarchical Reinforcement Learning
Yiyan Chen
Li Tao
Xueting Wang
T. Yamasaki
OffRL
65
54
0
12 Jan 2020
Options of Interest: Temporal Abstraction with Interest Functions
Options of Interest: Temporal Abstraction with Interest Functions
Khimya Khetarpal
Martin Klissarov
Maxime Chevalier-Boisvert
Pierre-Luc Bacon
Doina Precup
70
45
0
01 Jan 2020
Intrinsic motivations and open-ended learning
Intrinsic motivations and open-ended learning
Gianluca Baldassarre
AI4CE
72
8
0
31 Dec 2019
Questions to Guide the Future of Artificial Intelligence Research
Questions to Guide the Future of Artificial Intelligence Research
J. Ott
24
3
0
21 Dec 2019
Planning with Abstract Learned Models While Learning Transferable
  Subtasks
Planning with Abstract Learned Models While Learning Transferable Subtasks
J. Winder
Stephanie Milani
Matthew Landen
Erebus Oh
Shane Parr
S. Squire
Marie desJardins
Cynthia Matuszek
50
10
0
16 Dec 2019
Long-Term Planning and Situational Awareness in OpenAI Five
Long-Term Planning and Situational Awareness in OpenAI Five
Jonathan Raiman
Susan Zhang
Filip Wolski
47
10
0
13 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNNVLMCLLAI4CELRM
181
1,840
0
13 Dec 2019
Learning Improvement Heuristics for Solving Routing Problems
Learning Improvement Heuristics for Solving Routing Problems
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
Andrew Lim
101
300
0
12 Dec 2019
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill
  Discovery
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
Jiachen Yang
Igor Borovikov
H. Zha
104
77
0
07 Dec 2019
Inter-Level Cooperation in Hierarchical Reinforcement Learning
Inter-Level Cooperation in Hierarchical Reinforcement Learning
Abdul Rahman Kreidieh
Yiling You
Nathan Lichtlé
Samyak Parajuli
Rayyan Nasr
Alexandre M. Bayen
116
14
0
05 Dec 2019
Learning from Interventions using Hierarchical Policies for Safe
  Learning
Learning from Interventions using Hierarchical Policies for Safe Learning
Jing Bi
Vikas Dhiman
Tianyou Xiao
Chenliang Xu
OffRL
39
5
0
04 Dec 2019
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday
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ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Mohit Shridhar
Jesse Thomason
Daniel Gordon
Yonatan Bisk
Winson Han
Roozbeh Mottaghi
Luke Zettlemoyer
Dieter Fox
LM&Ro
127
784
0
03 Dec 2019
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep
  Reinforcement Learning
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
Mohammadhosein Hasanbeig
N. Jeppu
Alessandro Abate
T. Melham
Daniel Kroening
95
20
0
22 Nov 2019
Unsupervised Object Segmentation with Explicit Localization Module
Unsupervised Object Segmentation with Explicit Localization Module
Weitang Liu
Lifeng Wei
James Sharpnack
John Douglas Owens
SSeg
23
4
0
21 Nov 2019
Efficient Exploration through Intrinsic Motivation Learning for
  Unsupervised Subgoal Discovery in Model-Free Hierarchical Reinforcement
  Learning
Efficient Exploration through Intrinsic Motivation Learning for Unsupervised Subgoal Discovery in Model-Free Hierarchical Reinforcement Learning
J. Rafati
D. Noelle
OffRL
18
3
0
18 Nov 2019
Long-Term Personalization of an In-Home Socially Assistive Robot for
  Children With Autism Spectrum Disorders
Long-Term Personalization of an In-Home Socially Assistive Robot for Children With Autism Spectrum Disorders
Caitlyn E. Clabaugh
Kartik Mahajan
Shomik Jain
Roxanna Pakkar
David Becerra
Zhonghao Shi
Eric Deng
Rhianna Lee
G. Ragusa
Maja J. Matarić
58
99
0
18 Nov 2019
Combinatorial Optimization by Graph Pointer Networks and Hierarchical
  Reinforcement Learning
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning
Qiang Ma
Suwen Ge
Danyang He
D. Thaker
Iddo Drori
72
191
0
12 Nov 2019
Hierarchical Reinforcement Learning Method for Autonomous Vehicle
  Behavior Planning
Hierarchical Reinforcement Learning Method for Autonomous Vehicle Behavior Planning
Zhiqian Qiao
Zachariah Tyree
P. Mudalige
J. Schneider
John M. Dolan
51
33
0
09 Nov 2019
Object-oriented state editing for HRL
Object-oriented state editing for HRL
V. Bapst
Alvaro Sanchez-Gonzalez
Omar Shams
Kimberly L. Stachenfeld
Peter W. Battaglia
Satinder Singh
Jessica B. Hamrick
39
3
0
31 Oct 2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and
  Reinforcement Learning
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Abhishek Gupta
Vikash Kumar
Corey Lynch
Sergey Levine
Karol Hausman
118
435
0
25 Oct 2019
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation
  with Mobile Manipulators
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
Chengshu Li
Fei Xia
R. M. Martin
Silvio Savarese
79
103
0
24 Oct 2019
Faster and Safer Training by Embedding High-Level Knowledge into Deep
  Reinforcement Learning
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning
Haodi Zhang
Zihang Gao
Yi Zhou
Haotong Zhang
Kaishun Wu
Fangzhen Lin
AI4CE
59
17
0
22 Oct 2019
HIGhER : Improving instruction following with Hindsight Generation for
  Experience Replay
HIGhER : Improving instruction following with Hindsight Generation for Experience Replay
Geoffrey Cideron
Mathieu Seurin
Florian Strub
Olivier Pietquin
73
37
0
21 Oct 2019
Dynamic Subgoal-based Exploration via Bayesian Optimization
Dynamic Subgoal-based Exploration via Bayesian Optimization
Yijia Wang
Matthias Poloczek
Daniel R. Jiang
78
3
0
21 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
77
83
0
10 Oct 2019
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement
  Learning between Diverse Environmental Dynamics
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics
M. Barekatain
Ryo Yonetani
Masashi Hamaya
95
26
0
28 Sep 2019
Playing Atari Ball Games with Hierarchical Reinforcement Learning
Playing Atari Ball Games with Hierarchical Reinforcement Learning
Hua Huang
Adrian Barbu
34
0
0
27 Sep 2019
A Survey of Machine Learning Applied to Computer Architecture Design
A Survey of Machine Learning Applied to Computer Architecture Design
Drew Penney
Lizhong Chen
AI4CE
70
29
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
73
102
0
23 Sep 2019
Modular Deep Reinforcement Learning with Temporal Logic Specifications
Modular Deep Reinforcement Learning with Temporal Logic Specifications
Li-xin Yuan
Mohammadhosein Hasanbeig
Alessandro Abate
Daniel Kroening
OffRL
62
41
0
23 Sep 2019
A Layered Architecture for Active Perception: Image Classification using
  Deep Reinforcement Learning
A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning
Hossein K. Mousavi
Guangyi Liu
Weihang Yuan
Martin Takáč
Hector Muñoz-Avila
N. Motee
24
9
0
20 Sep 2019
Hierarchical Reinforcement Learning for Open-Domain Dialog
Hierarchical Reinforcement Learning for Open-Domain Dialog
Abdelrhman Saleh
Natasha Jaques
Asma Ghandeharioun
J. Shen
Rosalind W. Picard
OffRL
86
59
0
17 Sep 2019
Joint Inference of Reward Machines and Policies for Reinforcement
  Learning
Joint Inference of Reward Machines and Policies for Reinforcement Learning
Zhe Xu
I. Gavran
Yousef Ahmad
R. Majumdar
Daniel Neider
Ufuk Topcu
Bo Wu
84
94
0
12 Sep 2019
Bayesian Relational Memory for Semantic Visual Navigation
Bayesian Relational Memory for Semantic Visual Navigation
Yi Wu
Yuxin Wu
Aviv Tamar
Stuart J. Russell
Georgia Gkioxari
Yuandong Tian
BDL
128
105
0
10 Sep 2019
DEAR: Deep Reinforcement Learning for Online Advertising Impression in
  Recommender Systems
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
Xiangyu Zhao
Changsheng Gu
Haoshenglun Zhang
Xiwang Yang
Xiaobing Liu
Jiliang Tang
Hui Liu
OffRL
83
102
0
09 Sep 2019
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