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Strategic Attentive Writer for Learning Macro-Actions

Strategic Attentive Writer for Learning Macro-Actions

15 June 2016
Alexander
A. Vezhnevets
Volodymyr Mnih
J. Agapiou
Simon Osindero
Alex Graves
Oriol Vinyals
Koray Kavukcuoglu
ArXiv (abs)PDFHTML

Papers citing "Strategic Attentive Writer for Learning Macro-Actions"

40 / 90 papers shown
Safe Option-Critic: Learning Safety in the Option-Critic Architecture
Safe Option-Critic: Learning Safety in the Option-Critic Architecture
Arushi Jain
Khimya Khetarpal
Doina Precup
254
28
0
21 Jul 2018
Deep Reinforcement Learning for General Video Game AI
Deep Reinforcement Learning for General Video Game AI
R. Torrado
Philip Bontrager
Julian Togelius
Jialin Liu
Diego Perez-Liebana
153
139
0
06 Jun 2018
Data-Efficient Hierarchical Reinforcement Learning
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
614
917
0
21 May 2018
Hierarchical Reinforcement Learning with Hindsight
Andrew Levy
Robert Platt
Kate Saenko
224
91
0
21 May 2018
Hierarchical Reinforcement Learning with Deep Nested Agents
Hierarchical Reinforcement Learning with Deep Nested Agents
Marc Brittain
Peng Wei
BDL
62
1
0
18 May 2018
Visual Robot Task Planning
Visual Robot Task Planning
Chris Paxton
Yotam Barnoy
Kapil D. Katyal
R. Arora
Gregory Hager
215
57
0
30 Mar 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Eric Zhan
Stephan Zheng
Yisong Yue
Long Sha
P. Lucey
606
98
0
20 Mar 2018
State Representation Learning for Control: An Overview
State Representation Learning for Control: An Overview
Timothée Lesort
Natalia Díaz Rodríguez
Jean-François Goudou
David Filliat
OffRL
341
348
0
12 Feb 2018
Hierarchical Learning for Modular Robots
Hierarchical Learning for Modular Robots
R. Kojcev
Nora Etxezarreta
Alejandro Hernández
Víctor Mayoral
112
4
0
12 Feb 2018
Hierarchical and Interpretable Skill Acquisition in Multi-task
  Reinforcement Learning
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2017
Tianmin Shu
Caiming Xiong
R. Socher
OffRL
349
149
0
20 Dec 2017
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
Francis Dutil
Çağlar Gülçehre
Adam Trischler
Yoshua Bengio
119
12
0
28 Nov 2017
Learning with Options that Terminate Off-Policy
Learning with Options that Terminate Off-Policy
Anna Harutyunyan
Peter Vrancx
Pierre-Luc Bacon
Doina Precup
A. Nowé
OffRL
237
29
0
10 Nov 2017
Learning to Imagine Manipulation Goals for Robot Task Planning
Learning to Imagine Manipulation Goals for Robot Task Planning
Chris Paxton
Kapil D. Katyal
Christian Rupprecht
R. Arora
Gregory Hager
SSL
91
1
0
08 Nov 2017
Meta Learning Shared Hierarchies
Meta Learning Shared HierarchiesInternational Conference on Learning Representations (ICLR), 2017
Kevin Frans
Jonathan Ho
Xi Chen
Pieter Abbeel
John Schulman
202
372
0
26 Oct 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
399
2,830
0
19 Aug 2017
Learning model-based planning from scratch
Learning model-based planning from scratch
Razvan Pascanu
Yujia Li
Oriol Vinyals
N. Heess
Lars Buesing
S. Racanière
David P. Reichert
T. Weber
Daan Wierstra
Peter W. Battaglia
LM&Ro
220
99
0
19 Jul 2017
Value Prediction Network
Value Prediction Network
Junhyuk Oh
Satinder Singh
Honglak Lee
271
345
0
11 Jul 2017
Plan, Attend, Generate: Character-level Neural Machine Translation with
  Planning in the Decoder
Plan, Attend, Generate: Character-level Neural Machine Translation with Planning in the Decoder
Çağlar Gülçehre
Francis Dutil
Adam Trischler
Yoshua Bengio
158
7
0
13 Jun 2017
Hybrid Reward Architecture for Reinforcement Learning
Hybrid Reward Architecture for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2017
H. V. Seijen
Mehdi Fatemi
Joshua Romoff
Romain Laroche
Tavian Barnes
Jeffrey Tsang
239
277
0
13 Jun 2017
Learning to Factor Policies and Action-Value Functions: Factored Action
  Space Representations for Deep Reinforcement learning
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning
Sahil Sharma
A. Suresh
Rahul Ramesh
Balaraman Ravindran
OffRL
143
37
0
20 May 2017
Automatic Goal Generation for Reinforcement Learning Agents
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
527
554
0
17 May 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Carlos Florensa
Yan Duan
Pieter Abbeel
BDL
285
373
0
10 Apr 2017
Prediction and Control with Temporal Segment Models
Prediction and Control with Temporal Segment Models
Nikhil Mishra
Pieter Abbeel
Igor Mordatch
BDL
125
66
0
12 Mar 2017
Neural Episodic Control
Neural Episodic Control
Alexander Pritzel
Benigno Uria
Sriram Srinivasan
A. Badia
Oriol Vinyals
Demis Hassabis
Daan Wierstra
Charles Blundell
OffRLBDL
433
374
0
06 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
291
994
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
280
274
0
02 Mar 2017
Analysis of Agent Expertise in Ms. Pac-Man using
  Value-of-Information-based Policies
Analysis of Agent Expertise in Ms. Pac-Man using Value-of-Information-based PoliciesIEEE Transactions on Games (TG), 2017
I. Sledge
José C. Príncipe
157
12
0
28 Feb 2017
Learning to Multi-Task by Active Sampling
Learning to Multi-Task by Active SamplingInternational Conference on Learning Representations (ICLR), 2017
Sahil Sharma
Ashutosh Jha
Parikshit Hegde
Balaraman Ravindran
248
21
0
20 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
979
1,750
0
25 Jan 2017
A Matrix Splitting Perspective on Planning with Options
A Matrix Splitting Perspective on Planning with Options
Pierre-Luc Bacon
Doina Precup
115
5
0
03 Dec 2016
Variational Intrinsic Control
Variational Intrinsic Control
Karol Gregor
Danilo Jimenez Rezende
Daan Wierstra
DRLOffRL
303
457
0
22 Nov 2016
Options Discovery with Budgeted Reinforcement Learning
Options Discovery with Budgeted Reinforcement Learning
Aurélia Léon
Ludovic Denoyer
OffRL
264
4
0
21 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement
  Learning
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
399
826
0
15 Nov 2016
Modular Multitask Reinforcement Learning with Policy Sketches
Modular Multitask Reinforcement Learning with Policy Sketches
Jacob Andreas
Dan Klein
Sergey Levine
OffRL
506
488
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
246
12
0
01 Nov 2016
Learning and Transfer of Modulated Locomotor Controllers
Learning and Transfer of Modulated Locomotor Controllers
N. Heess
Greg Wayne
Yuval Tassa
Timothy Lillicrap
Martin Riedmiller
David Silver
191
218
0
17 Oct 2016
Towards Deep Symbolic Reinforcement Learning
Towards Deep Symbolic Reinforcement Learning
M. Garnelo
Kai Arulkumaran
Murray Shanahan
254
232
0
18 Sep 2016
The Option-Critic Architecture
The Option-Critic Architecture
Pierre-Luc Bacon
J. Harb
Doina Precup
OffRL
280
1,198
0
16 Sep 2016
Hierarchical Multiscale Recurrent Neural Networks
Hierarchical Multiscale Recurrent Neural Networks
Junyoung Chung
Sungjin Ahn
Yoshua Bengio
BDL
427
550
0
06 Sep 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
397
394
0
25 Apr 2016
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