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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"

43 / 493 papers shown
Title
Deep Learning for Video Game Playing
Deep Learning for Video Game Playing
Niels Justesen
Philip Bontrager
Julian Togelius
S. Risi
VLM
101
208
0
25 Aug 2017
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
143
2,830
0
19 Aug 2017
Intrinsically Motivated Goal Exploration Processes with Automatic
  Curriculum Learning
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
Sébastien Forestier
Rémy Portelas
Yoan Mollard
Pierre-Yves Oudeyer
99
190
0
07 Aug 2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous
  Control Tasks Simultaneously
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
Serkan Cabi
Sergio Gomez Colmenarejo
Matthew W. Hoffman
Misha Denil
Ziyun Wang
Nando de Freitas
83
31
0
11 Jul 2017
Programmable Agents
Programmable Agents
Misha Denil
Sergio Gomez Colmenarejo
Serkan Cabi
D. Saxton
Nando de Freitas
AI4CE
92
42
0
20 Jun 2017
Sub-domain Modelling for Dialogue Management with Hierarchical
  Reinforcement Learning
Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning
Paweł Budzianowski
Stefan Ultes
Pei-hao Su
N. Mrksic
Tsung-Hsien Wen
I. Casanueva
L. Rojas-Barahona
Milica Gasic
92
49
0
19 Jun 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement
  Learning
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
Junhyuk Oh
Satinder Singh
Honglak Lee
Pushmeet Kohli
OffRL
164
269
0
15 Jun 2017
Hybrid Reward Architecture for Reinforcement Learning
Hybrid Reward Architecture for Reinforcement Learning
H. V. Seijen
Mehdi Fatemi
Joshua Romoff
Romain Laroche
Tavian Barnes
Jeffrey Tsang
100
253
0
13 Jun 2017
State Space Decomposition and Subgoal Creation for Transfer in Deep
  Reinforcement Learning
State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning
Himanshu Sahni
Saurabh Kumar
Farhan Tejani
Yannick Schroecker
Charles Isbell
11
4
0
24 May 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement
  Learning
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
Nat Dilokthanakul
Christos Kaplanis
Nick Pawlowski
Murray Shanahan
87
92
0
18 May 2017
Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously
  Handling Multiple Intersections
Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections
David Isele
Akansel Cosgun
K. Fujimura
36
11
0
02 May 2017
Navigating Occluded Intersections with Autonomous Vehicles using Deep
  Reinforcement Learning
Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning
David Isele
Reza Rahimi
Akansel Cosgun
K. Subramanian
K. Fujimura
79
137
0
02 May 2017
Beating Atari with Natural Language Guided Reinforcement Learning
Beating Atari with Natural Language Guided Reinforcement Learning
Russell Kaplan
Chris Sauer
A. Sosa
LM&Ro
86
69
0
18 Apr 2017
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep
  Reinforcement Learning
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning
Baolin Peng
Xiujun Li
Lihong Li
Jianfeng Gao
Asli Celikyilmaz
Sungjin Lee
Kam-Fai Wong
BDL
100
190
0
10 Apr 2017
Embodied Artificial Intelligence through Distributed Adaptive Control:
  An Integrated Framework
Embodied Artificial Intelligence through Distributed Adaptive Control: An Integrated Framework
Clément Moulin-Frier
J. Puigbò
X. Arsiwalla
Martí Sánchez-Fibla
P. Verschure
45
25
0
05 Apr 2017
Multi-Level Discovery of Deep Options
Multi-Level Discovery of Deep Options
Roy Fox
S. Krishnan
Ion Stoica
Ken Goldberg
77
125
0
24 Mar 2017
Micro-Objective Learning : Accelerating Deep Reinforcement Learning
  through the Discovery of Continuous Subgoals
Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals
Sungtae Lee
Sang-Woo Lee
Jinyoung Choi
Donghyun Kwak
Byoung-Tak Zhang
54
2
0
11 Mar 2017
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Justin Fu
John D. Co-Reyes
Sergey Levine
OffRL
71
156
0
03 Mar 2017
FeUdal Networks for Hierarchical Reinforcement Learning
FeUdal Networks for Hierarchical Reinforcement Learning
A. Vezhnevets
Simon Osindero
Tom Schaul
N. Heess
Max Jaderberg
David Silver
Koray Kavukcuoglu
FedML
112
910
0
03 Mar 2017
A Laplacian Framework for Option Discovery in Reinforcement Learning
A Laplacian Framework for Option Discovery in Reinforcement Learning
Marlos C. Machado
Marc G. Bellemare
Michael Bowling
107
263
0
02 Mar 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
346
1,550
0
25 Jan 2017
Separation of Concerns in Reinforcement Learning
Separation of Concerns in Reinforcement Learning
H. V. Seijen
Mehdi Fatemi
Joshua Romoff
Romain Laroche
20
3
0
15 Dec 2016
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
Shehroze Bhatti
Alban Desmaison
O. Mikšík
Nantas Nardelli
N. Siddharth
Philip Torr
OffRL
94
69
0
01 Dec 2016
Nonparametric General Reinforcement Learning
Nonparametric General Reinforcement Learning
Jan Leike
OffRL
105
26
0
28 Nov 2016
Deep Reinforcement Learning for Multi-Domain Dialogue Systems
Deep Reinforcement Learning for Multi-Domain Dialogue Systems
Heriberto Cuayáhuitl
Seunghak Yu
Ashley Williamson
Jacob Carse
98
47
0
26 Nov 2016
Variational Intrinsic Control
Variational Intrinsic Control
Karol Gregor
Danilo Jimenez Rezende
Daan Wierstra
DRLOffRL
90
430
0
22 Nov 2016
Options Discovery with Budgeted Reinforcement Learning
Options Discovery with Budgeted Reinforcement Learning
Aurélia Léon
Ludovic Denoyer
OffRL
61
4
0
21 Nov 2016
Modular Multitask Reinforcement Learning with Policy Sketches
Modular Multitask Reinforcement Learning with Policy Sketches
Jacob Andreas
Dan Klein
Sergey Levine
OffRL
217
463
0
06 Nov 2016
Learning to Act by Predicting the Future
Learning to Act by Predicting the Future
Alexey Dosovitskiy
V. Koltun
187
281
0
06 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for
  Robotics
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
J. M. Wong
79
11
0
01 Nov 2016
The Option-Critic Architecture
The Option-Critic Architecture
Pierre-Luc Bacon
J. Harb
Doina Precup
OffRL
116
1,090
0
16 Sep 2016
Learning an Optimization Algorithm through Human Design Iterations
Learning an Optimization Algorithm through Human Design Iterations
Thurston Sexton
Max Yi Ren
50
20
0
24 Aug 2016
Visualizing Dynamics: from t-SNE to SEMI-MDPs
Visualizing Dynamics: from t-SNE to SEMI-MDPs
Nir Ben-Zrihem
Tom Zahavy
Shie Mannor
68
13
0
22 Jun 2016
Concrete Problems in AI Safety
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
312
151
0
21 Jun 2016
Deep Reinforcement Learning Discovers Internal Models
Deep Reinforcement Learning Discovers Internal Models
Nir Baram
Tom Zahavy
Shie Mannor
22
4
0
16 Jun 2016
Strategic Attentive Writer for Learning Macro-Actions
Strategic Attentive Writer for Learning Macro-Actions
Alexander
A. Vezhnevets
Volodymyr Mnih
J. Agapiou
Simon Osindero
Alex Graves
Oriol Vinyals
Koray Kavukcuoglu
67
171
0
15 Jun 2016
Deep Reinforcement Learning With Macro-Actions
Deep Reinforcement Learning With Macro-Actions
Ishan Durugkar
Clemens Rosenbaum
S. Dernbach
Sridhar Mahadevan
58
25
0
15 Jun 2016
Deep Successor Reinforcement Learning
Deep Successor Reinforcement Learning
Tejas D. Kulkarni
A. Saeedi
Simanta Gautam
S. Gershman
80
209
0
08 Jun 2016
Active Long Term Memory Networks
Active Long Term Memory Networks
Tommaso Furlanello
Jiaping Zhao
Andrew M. Saxe
Laurent Itti
B. Tjan
KELMCLL
92
42
0
07 Jun 2016
Learning Purposeful Behaviour in the Absence of Rewards
Learning Purposeful Behaviour in the Absence of Rewards
Marlos C. Machado
Michael Bowling
63
30
0
25 May 2016
Classifying Options for Deep Reinforcement Learning
Classifying Options for Deep Reinforcement Learning
Kai Arulkumaran
Nat Dilokthanakul
Murray Shanahan
Anil Anthony Bharath
69
20
0
27 Apr 2016
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
Chen Tessler
Shahar Givony
Tom Zahavy
D. Mankowitz
Shie Mannor
CLL
178
381
0
25 Apr 2016
Graying the black box: Understanding DQNs
Graying the black box: Understanding DQNs
Tom Zahavy
Nir Ben-Zrihem
Shie Mannor
84
263
0
08 Feb 2016
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