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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"

50 / 90 papers shown
Title
Reinforcement Learning with Action Chunking
Reinforcement Learning with Action Chunking
Qiyang Li
Zhiyuan Zhou
Sergey Levine
OffRLOnRL
308
19
0
10 Jul 2025
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
Hongjoon Ahn
Heewoong Choi
Jisu Han
Taesup Moon
OffRL
266
0
0
19 May 2025
OptionZero: Planning with Learned Options
OptionZero: Planning with Learned OptionsInternational Conference on Learning Representations (ICLR), 2025
Po-Wei Huang
Pei-Chiun Peng
Hung Guei
Tai-Lin Wu
441
2
0
23 Feb 2025
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Max Wilcoxson
Qiyang Li
Kevin Frans
Sergey Levine
SSLOffRLOnRL
634
4
0
23 Oct 2024
MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions
MA-RLHF: Reinforcement Learning from Human Feedback with Macro ActionsInternational Conference on Learning Representations (ICLR), 2024
Yekun Chai
Haoran Sun
Huang Fang
Shuohuan Wang
Yu Sun
Hua Wu
901
5
0
03 Oct 2024
Planning Transformer: Long-Horizon Offline Reinforcement Learning with
  Planning Tokens
Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens
Joseph Clinton
Robert Lieck
OffRL
171
6
0
14 Sep 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time
  RL
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
Lenart Treven
Bhavya Sukhija
Yarden As
Florian Dorfler
Andreas Krause
359
6
0
03 Jun 2024
Exploring the limits of Hierarchical World Models in Reinforcement
  Learning
Exploring the limits of Hierarchical World Models in Reinforcement Learning
Robin Schiewer
Anand Subramoney
Laurenz Wiskott
203
7
0
01 Jun 2024
Efficient Open-world Reinforcement Learning via Knowledge Distillation
  and Autonomous Rule Discovery
Efficient Open-world Reinforcement Learning via Knowledge Distillation and Autonomous Rule Discovery
Ekaterina Nikonova
Cheng Xue
Jochen Renz
CLL
178
1
0
24 Nov 2023
SHIRO: Soft Hierarchical Reinforcement Learning
SHIRO: Soft Hierarchical Reinforcement Learning
Kandai Watanabe
Mathew Strong
Omer Eldar
120
1
0
24 Dec 2022
Teacher-student curriculum learning for reinforcement learning
Teacher-student curriculum learning for reinforcement learning
Yanick Schraner
OffRL
163
3
0
31 Oct 2022
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical
  Reinforcement Learning
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Seungjae Lee
Jigang Kim
Inkyu Jang
H. J. Kim
OffRL
298
19
0
11 Oct 2022
Intelligent problem-solving as integrated hierarchical reinforcement
  learning
Intelligent problem-solving as integrated hierarchical reinforcement learningNature Machine Intelligence (Nat. Mach. Intell.), 2022
Manfred Eppe
Christian Gumbsch
Matthias Kerzel
Phuong D. H. Nguyen
Martin Volker Butz
S. Wermter
208
86
0
18 Aug 2022
Graph Neural Network based Agent in Google Research Football
Graph Neural Network based Agent in Google Research Football
Yizhan Niu
Jinglong Liu
Yuhao Shi
Jiren Zhu
GNN
109
2
0
23 Apr 2022
Generative Planning for Temporally Coordinated Exploration in
  Reinforcement Learning
Generative Planning for Temporally Coordinated Exploration in Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022
Haichao Zhang
Wei Xu
Haonan Yu
178
11
0
24 Jan 2022
Neural Attention Models in Deep Learning: Survey and Taxonomy
Neural Attention Models in Deep Learning: Survey and Taxonomy
Alana de Santana Correia
Esther Colombini
MLAU
118
20
0
11 Dec 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
236
11
0
20 Sep 2021
Hierarchical Reinforcement Learning with Optimal Level Synchronization
  based on a Deep Generative Model
Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model
JaeYoon Kim
Junyu Xuan
Christy Jie Liang
F. Hussain
92
0
0
17 Jul 2021
TempoRL: Learning When to Act
TempoRL: Learning When to ActInternational Conference on Machine Learning (ICML), 2021
André Biedenkapp
Raghunandan Rajan
Katharina Eggensperger
Marius Lindauer
OffRL
120
34
0
09 Jun 2021
Learning Routines for Effective Off-Policy Reinforcement Learning
Learning Routines for Effective Off-Policy Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021
Edoardo Cetin
Oya Celiktutan
70
1
0
05 Jun 2021
Online Baum-Welch algorithm for Hierarchical Imitation Learning
Online Baum-Welch algorithm for Hierarchical Imitation LearningIEEE Conference on Decision and Control (CDC), 2021
Vittorio Giammarino
I. Paschalidis
OffRL
119
5
0
22 Mar 2021
Discovery of Options via Meta-Learned Subgoals
Discovery of Options via Meta-Learned SubgoalsNeural Information Processing Systems (NeurIPS), 2021
Vivek Veeriah
Tom Zahavy
Matteo Hessel
Zhongwen Xu
Junhyuk Oh
Iurii Kemaev
H. V. Hasselt
David Silver
Satinder Singh
139
35
0
12 Feb 2021
Interpretable Reinforcement Learning Inspired by Piaget's Theory of
  Cognitive Development
Interpretable Reinforcement Learning Inspired by Piaget's Theory of Cognitive Development
Aref Hakimzadeh
Yanbo Xue
P. Setoodeh
96
7
0
01 Feb 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
A Survey on Deep Reinforcement Learning for Audio-Based ApplicationsArtificial Intelligence Review (AIR), 2021
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Xiaoshi Zhong
OffRL
291
86
0
01 Jan 2021
Hierarchical principles of embodied reinforcement learning: A review
Hierarchical principles of embodied reinforcement learning: A review
Manfred Eppe
Christian Gumbsch
Matthias Kerzel
Phuong D. H. Nguyen
Martin Volker Butz
S. Wermter
337
11
0
18 Dec 2020
Reinforcement Learning with Subspaces using Free Energy Paradigm
Reinforcement Learning with Subspaces using Free Energy Paradigm
Milad Ghorbani
Reshad Hosseini
Seyed Pooya Shariatpanahi
M. N. Ahmadabadi
214
0
0
13 Dec 2020
Neural Function Modules with Sparse Arguments: A Dynamic Approach to
  Integrating Information across Layers
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
Alex Lamb
Anirudh Goyal
A. Slowik
Michael C. Mozer
Philippe Beaudoin
Yoshua Bengio
199
3
0
15 Oct 2020
Deep Reinforcement Learning and Transportation Research: A Comprehensive
  Review
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
Nahid Parvez Farazi
T. Ahamed
Limon Barua
Bo Zou
AI4TS
123
20
0
13 Oct 2020
AI Research Considerations for Human Existential Safety (ARCHES)
AI Research Considerations for Human Existential Safety (ARCHES)
Andrew Critch
David M. Krueger
169
65
0
30 May 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and
  Survey
Curriculum Learning for Reinforcement Learning Domains: A Framework and SurveyJournal of machine learning research (JMLR), 2020
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
392
600
0
10 Mar 2020
A Survey of Deep Reinforcement Learning in Video Games
A Survey of Deep Reinforcement Learning in Video Games
Youssef Attia El Hili
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRLAI4TS
267
221
0
23 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
396
20
0
22 Nov 2019
Dynamic Subgoal-based Exploration via Bayesian Optimization
Dynamic Subgoal-based Exploration via Bayesian Optimization
Yijia Wang
Matthias Poloczek
Daniel R. Jiang
251
4
0
21 Oct 2019
Autonomous Industrial Management via Reinforcement Learning:
  Self-Learning Agents for Decision-Making -- A Review
Autonomous Industrial Management via Reinforcement Learning: Self-Learning Agents for Decision-Making -- A Review
L. E. Leal
Magnus Westerlund
A. Chapman
63
0
0
20 Oct 2019
Reinforcement Learning with Structured Hierarchical Grammar
  Representations of Actions
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions
Petros Christodoulou
R. T. Lange
A. Shafti
A. Faisal
131
1
0
07 Oct 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
151
42
0
23 Sep 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
170
21
0
01 Jul 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning
Sub-policy Adaptation for Hierarchical Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2019
Alexander C. Li
Carlos Florensa
I. Clavera
Pieter Abbeel
308
80
0
13 Jun 2019
Composing Task-Agnostic Policies with Deep Reinforcement Learning
Composing Task-Agnostic Policies with Deep Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2019
A. H. Qureshi
Jacob J. Johnson
Yuzhe Qin
Taylor Henderson
Byron Boots
Michael C. Yip
OffRL
158
33
0
25 May 2019
Design of Artificial Intelligence Agents for Games using Deep
  Reinforcement Learning
Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning
A. Roibu
202
1
0
10 May 2019
Hierarchical Policy Learning is Sensitive to Goal Space Design
Hierarchical Policy Learning is Sensitive to Goal Space Design
Zach Dwiel
Madhavun Candadai
Mariano Phielipp
Arjun K. Bansal
205
15
0
04 May 2019
Disentangling Options with Hellinger Distance Regularizer
Disentangling Options with Hellinger Distance Regularizer
Minsung Hyun
Junyoung Choi
Nojun Kwak
67
2
0
15 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
205
3
0
23 Mar 2019
Macro Action Reinforcement Learning with Sequence Disentanglement using
  Variational Autoencoder
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder
Heecheol Kim
Masanori Yamada
Kosuke Miyoshi
Hiroshi Yamakawa
DRL
110
6
0
22 Mar 2019
Certified Reinforcement Learning with Logic Guidance
Certified Reinforcement Learning with Logic GuidanceArtificial Intelligence (AI), 2019
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
350
64
0
02 Feb 2019
Dynamic Planning Networks
Dynamic Planning Networks
Norman L. Tasfi
Miriam A. M. Capretz
129
5
0
28 Dec 2018
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRLAI4CE
336
1,382
0
30 Nov 2018
Diversity-Driven Extensible Hierarchical Reinforcement Learning
Diversity-Driven Extensible Hierarchical Reinforcement Learning
Yuhang Song
Jianyi Wang
Thomas Lukasiewicz
Zhenghua Xu
Mai Xu
123
19
0
10 Nov 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
303
144
0
15 Oct 2018
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in
  the Full Game
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
Yang Liu
Xinghai Sun
Lei Han
Jiechao Xiong
Qing Wang
...
Yang Zheng
Ji Liu
Yongsheng Liu
Han Liu
Tong Zhang
191
76
0
19 Sep 2018
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