ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1604.06057
  4. Cited By
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
A Data-Efficient Deep Learning Approach for Deployable Multimodal Social
  Robots
A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots
Heriberto Cuayáhuitl
OffRL
53
17
0
27 Aug 2019
Dynamics-aware Embeddings
Dynamics-aware Embeddings
William F. Whitney
Rajat Agarwal
Kyunghyun Cho
Abhinav Gupta
SSL
78
53
0
25 Aug 2019
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical
  Control
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
Yu-Wei Chao
Jimei Yang
Weifeng Chen
Jia Deng
81
42
0
20 Aug 2019
A survey on intrinsic motivation in reinforcement learning
A survey on intrinsic motivation in reinforcement learning
A. Aubret
L. Matignon
S. Hassas
AI4CE
112
144
0
19 Aug 2019
Are You for Real? Detecting Identity Fraud via Dialogue Interactions
Are You for Real? Detecting Identity Fraud via Dialogue Interactions
Weikang Wang
Jiajun Zhang
Q. Li
Chengqing Zong
Zhifei Li
70
17
0
19 Aug 2019
Mapping State Space using Landmarks for Universal Goal Reaching
Mapping State Space using Landmarks for Universal Goal Reaching
Zhiao Huang
Fangchen Liu
Hao Su
82
68
0
15 Aug 2019
Skill Transfer in Deep Reinforcement Learning under Morphological
  Heterogeneity
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity
Yang Hu
Giovanni Montana
57
6
0
14 Aug 2019
From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement
  Learning -- Insights from Biological Systems on Adaptive Flexibility
From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning -- Insights from Biological Systems on Adaptive Flexibility
M. Schilling
Helge J. Ritter
F. Ohl
AI4CE
41
4
0
13 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
122
437
0
11 Aug 2019
Learning to combine primitive skills: A step towards versatile robotic
  manipulation
Learning to combine primitive skills: A step towards versatile robotic manipulation
Robin Strudel
Alexander Pashevich
Igor Kalevatykh
Ivan Laptev
Josef Sivic
Cordelia Schmid
79
4
0
02 Aug 2019
Hindsight Trust Region Policy Optimization
Hindsight Trust Region Policy Optimization
Hanbo Zhang
Site Bai
Xuguang Lan
David Hsu
Nanning Zheng
55
8
0
29 Jul 2019
Learning to design from humans: Imitating human designers through deep
  learning
Learning to design from humans: Imitating human designers through deep learning
Ayush Raina
Christopher McComb
Jonathan Cagan
3DVAI4CE
80
67
0
26 Jul 2019
Learning to Solve a Rubik's Cube with a Dexterous Hand
Learning to Solve a Rubik's Cube with a Dexterous Hand
Tingguang Li
Weitao Xi
Meng Fang
Jia Xu
Max Meng
48
12
0
26 Jul 2019
Deep Reinforcement Learning for Clinical Decision Support: A Brief
  Survey
Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey
Siqi Liu
K. Ngiam
Mengling Feng
LM&MAOffRL
47
19
0
22 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
Wenling Shang
Alexander R. Trott
Stephan Zheng
Caiming Xiong
R. Socher
84
18
0
01 Jul 2019
Generalization to Novel Objects using Prior Relational Knowledge
Generalization to Novel Objects using Prior Relational Knowledge
V. Vijay
Abhinav Ganesh
Hanlin Tang
Arjun K. Bansal
GNN
50
6
0
26 Jun 2019
Reinforcement Learning with Competitive Ensembles of
  Information-Constrained Primitives
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
Anirudh Goyal
Shagun Sodhani
Jonathan Binas
Xue Bin Peng
Sergey Levine
Yoshua Bengio
91
49
0
25 Jun 2019
Neural networks with motivation
Neural networks with motivation
Sergey A. Shuvaev
Ngoc B. Tran
Marcus Stephenson-Jones
Yue Liu
A. Koulakov
16
8
0
23 Jun 2019
A Deep Reinforcement Learning Approach for Global Routing
A Deep Reinforcement Learning Approach for Global Routing
Haiguang Liao
Wentai Zhang
Xuliang Dong
Barnabás Póczós
K. Shimada
Levent Burak Kara
57
84
0
20 Jun 2019
Unsupervised Learning of Object Keypoints for Perception and Control
Unsupervised Learning of Object Keypoints for Perception and Control
Tejas D. Kulkarni
Ankush Gupta
Catalin Ionescu
Sebastian Borgeaud
Malcolm Reynolds
Andrew Zisserman
Volodymyr Mnih
SSLOCL
82
197
0
19 Jun 2019
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study
Cam Linke
Nadia M. Ady
Martha White
T. Degris
Adam White
88
16
0
19 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Yiding Jiang
S. Gu
Kevin Patrick Murphy
Chelsea Finn
OffRL
69
225
0
18 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning
Sub-policy Adaptation for Hierarchical Reinforcement Learning
Alexander C. Li
Carlos Florensa
I. Clavera
Pieter Abbeel
96
74
0
13 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement
  Learning
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
98
293
0
12 Jun 2019
A Hierarchical Reinforced Sequence Operation Method for Unsupervised
  Text Style Transfer
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer
Chen Henry Wu
Xuancheng Ren
Fuli Luo
Xu Sun
89
58
0
05 Jun 2019
Autonomous Reinforcement Learning of Multiple Interrelated Tasks
Autonomous Reinforcement Learning of Multiple Interrelated Tasks
V. Santucci
Gianluca Baldassarre
Emilio Cartoni
66
27
0
04 Jun 2019
Learning Compositional Neural Programs with Recursive Tree Search and
  Planning
Learning Compositional Neural Programs with Recursive Tree Search and Planning
Thomas Pierrot
Guillaume Ligner
Scott E. Reed
Olivier Sigaud
Nicolas Perrin
Alexandre Laterre
David Kas
Karim Beguir
Nando de Freitas
176
41
0
30 May 2019
Planning with State Abstractions for Non-Markovian Task Specifications
Planning with State Abstractions for Non-Markovian Task Specifications
Yoonseon Oh
Roma Patel
Thao Nguyen
Baichuan Huang
Ellie Pavlick
Stefanie Tellex
57
22
0
28 May 2019
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale
  Ride-Hailing Platforms
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
Jiarui Jin
M. Zhou
Weinan Zhang
Minne Li
Zilong Guo
...
Xiaocheng Tang
Chenxi Wang
Jun Wang
Guobin Wu
Jieping Ye
54
103
0
27 May 2019
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement
  Learning
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning
Caleb Chuck
Supawit Chockchowwat
S. Niekum
67
14
0
27 May 2019
Value Iteration Networks on Multiple Levels of Abstraction
Value Iteration Networks on Multiple Levels of Abstraction
Daniel Schleich
Tobias Klamt
Sven Behnke
53
20
0
27 May 2019
From semantics to execution: Integrating action planning with
  reinforcement learning for robotic causal problem-solving
From semantics to execution: Integrating action planning with reinforcement learning for robotic causal problem-solving
Manfred Eppe
Phuong D. H. Nguyen
S. Wermter
68
42
0
23 May 2019
COBRA: Data-Efficient Model-Based RL through Unsupervised Object
  Discovery and Curiosity-Driven Exploration
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
Nicholas Watters
Loic Matthey
Matko Bosnjak
Christopher P. Burgess
Alexander Lerchner
OffRL
120
118
0
22 May 2019
Learning Robust Options by Conditional Value at Risk Optimization
Learning Robust Options by Conditional Value at Risk Optimization
Takuya Hiraoka
Takahisa Imagawa
Tatsuya Mori
Takashi Onishi
Yoshimasa Tsuruoka
80
27
0
22 May 2019
Knowledge-Based Sequential Decision-Making Under Uncertainty
Knowledge-Based Sequential Decision-Making Under Uncertainty
Daoming Lyu
112
4
0
16 May 2019
Successor Options: An Option Discovery Framework for Reinforcement
  Learning
Successor Options: An Option Discovery Framework for Reinforcement Learning
Rahul Ramesh
Manan Tomar
Balaraman Ravindran
63
34
0
14 May 2019
Learning and Exploiting Multiple Subgoals for Fast Exploration in
  Hierarchical Reinforcement Learning
Learning and Exploiting Multiple Subgoals for Fast Exploration in Hierarchical Reinforcement Learning
Libo Xing
18
4
0
13 May 2019
Exploration of Self-Propelling Droplets Using a Curiosity Driven Robotic
  Assistant
Exploration of Self-Propelling Droplets Using a Curiosity Driven Robotic Assistant
Jonathan Grizou
L. Points
Abhishek Sharma
L. Cronin
39
2
0
22 Apr 2019
ReinBo: Machine Learning pipeline search and configuration with Bayesian
  Optimization embedded Reinforcement Learning
ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning
Xudong Sun
Jiali Lin
B. Bischl
AI4CEBDLTPM
44
11
0
10 Apr 2019
Multitask Soft Option Learning
Multitask Soft Option Learning
Maximilian Igl
Andrew Gambardella
Jinke He
Nantas Nardelli
N. Siddharth
Wendelin Bohmer
Shimon Whiteson
187
26
0
01 Apr 2019
TTR-Based Reward for Reinforcement Learning with Implicit Model Priors
TTR-Based Reward for Reinforcement Learning with Implicit Model Priors
Xubo Lyu
Mo Chen
OffRL
41
3
0
23 Mar 2019
ToyArchitecture: Unsupervised Learning of Interpretable Models of the
  World
ToyArchitecture: Unsupervised Learning of Interpretable Models of the World
Jaroslav Vítků
Petr Dluhos
Joseph Davidson
Matej Nikl
Simon Andersson
...
Martin Stránský
M. Hyben
Martin Poliak
Jan Feyereisl
Marek Rosa
AI4CESSL
31
0
0
20 Mar 2019
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically
  Motivated Exploration
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
Jingwei Zhang
Niklas Wetzel
Nicolai Dorka
Joschka Boedecker
Wolfram Burgard
65
26
0
18 Mar 2019
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid
  Action Spaces
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces
Haotian Fu
Hongyao Tang
Jianye Hao
Zihan Lei
Yingfeng Chen
Changjie Fan
57
65
0
12 Mar 2019
Learning Hierarchical Teaching Policies for Cooperative Agents
Learning Hierarchical Teaching Policies for Cooperative Agents
Dong-Ki Kim
Miao Liu
Shayegan Omidshafiei
Sebastian Lopez-Cot
Matthew D Riemer
Golnaz Habibi
Gerald Tesauro
Sami Mourad
Murray Campbell
Jonathan P. How
65
7
0
07 Mar 2019
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by
  Clutter
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter
Michael Danielczuk
Andrey Kurenkov
Ashwin Balakrishna
Matthew Matl
David Wang
Roberto Martín-Martín
Animesh Garg
Silvio Savarese
Ken Goldberg
70
114
0
04 Mar 2019
Planning in Hierarchical Reinforcement Learning: Guarantees for Using
  Local Policies
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies
Tom Zahavy
Avinatan Hassidim
Haim Kaplan
Yishay Mansour
OffRL
77
7
0
26 Feb 2019
Aggregating E-commerce Search Results from Heterogeneous Sources via
  Hierarchical Reinforcement Learning
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning
Ryuichi Takanobu
Tao Zhuang
Minlie Huang
Jun Feng
Haihong Tang
Bo Zheng
91
17
0
24 Feb 2019
Rethinking the Discount Factor in Reinforcement Learning: A Decision
  Theoretic Approach
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach
Silviu Pitis
OffRL
85
50
0
08 Feb 2019
Certified Reinforcement Learning with Logic Guidance
Certified Reinforcement Learning with Logic Guidance
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
127
57
0
02 Feb 2019
Previous
123...106789
Next