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1512.04455
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Memory-based control with recurrent neural networks
14 December 2015
N. Heess
Jonathan J. Hunt
Timothy Lillicrap
David Silver
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Papers citing
"Memory-based control with recurrent neural networks"
50 / 129 papers shown
Self-optimizing adaptive optics control with Reinforcement Learning for high-contrast imaging
Journal of Astronomical Telescopes Instruments and Systems (JATIS), 2021
Rico Landman
S. Haffert
V. M. Radhakrishnan
C. Keller
164
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24 Aug 2021
Graph Convolutional Memory using Topological Priors
Steven D. Morad
Stephan Liwicki
Ryan Kortvelesy
R. Mecca
Amanda Prorok
120
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27 Jun 2021
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Anas Barakat
Pascal Bianchi
Julien Lehmann
206
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0
14 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Neural Information Processing Systems (NeurIPS), 2021
Michael Janner
Qiyang Li
Sergey Levine
OffRL
682
790
0
03 Jun 2021
Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning
J. Siekmann
Kevin R. Green
John Warila
Alan Fern
J. Hurst
247
226
0
18 May 2021
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments
Journal of Intelligent & Fuzzy Systems (JIFS), 2021
Xiaolong Wei
Lifang Yang
Xianglin Huang
Gang Cao
Zhulin Tao
Zhengyang Du
Jing An
198
7
0
11 May 2021
Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics
Yuan Pu
Shaochen Wang
Xin Yao
Bin Li
92
1
0
07 May 2021
Reinforcement Learning using Guided Observability
Stephan Weigand
Pascal Klink
Jan Peters
Joni Pajarinen
OffRL
120
5
0
22 Apr 2021
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning
International Conference on Intelligent Transportation Systems (ITSC), 2021
Songan Zhang
Lu Wen
H. Peng
H. E. Tseng
82
11
0
18 Apr 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Computer Vision and Pattern Recognition (CVPR), 2021
Xudong Wang
Long Lian
Stella X. Yu
OOD
177
49
0
07 Apr 2021
Robust Reinforcement Learning under model misspecification
Lebin Yu
Jian Wang
Xudong Zhang
OOD
158
2
0
29 Mar 2021
Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction
Dong-hwan Lee
Niao He
Seungjae Lee
P. Karava
Jianghai Hu
AI4CE
47
0
0
14 Mar 2021
Deep Reinforcement Learning for Safe Landing Site Selection with Concurrent Consideration of Divert Maneuvers
Keidai Iiyama
Kento Tomita
Bhavi Jagatia
Tatsuwaki Nakagawa
K. Ho
73
15
0
24 Feb 2021
Memory-based Deep Reinforcement Learning for POMDPs
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Lingheng Meng
R. Gorbet
Dana Kulic
389
123
0
24 Feb 2021
Learning Memory-Dependent Continuous Control from Demonstrations
Siqing Hou
Dongqi Han
Jun Tani
74
0
0
18 Feb 2021
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions
IEEE Robotics and Automation Letters (RA-L), 2021
Jui-Te Huang
Chen-Lung Lu
Po-Kai Chang
Ching-I Huang
Chao-Chun Hsu
Zu Lin Ewe
Po-Jui Huang
Hsueh-Cheng Wang
174
23
0
10 Jan 2021
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
703
3
0
04 Jan 2021
Occlusion-Aware Search for Object Retrieval in Clutter
Wissam Bejjani
Wisdom C. Agboh
M. Dogar
Matteo Leonetti
534
38
0
06 Nov 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Conference on Robot Learning (CoRL), 2020
Tony Zhao
Anusha Nagabandi
Kate Rakelly
Chelsea Finn
Sergey Levine
OffRL
252
36
0
26 Oct 2020
Approximate information state for approximate planning and reinforcement learning in partially observed systems
Journal of machine learning research (JMLR), 2020
Jayakumar Subramanian
Amit Sinha
Raihan Seraj
Aditya Mahajan
294
104
0
17 Oct 2020
A Learning Approach to Robot-Agnostic Force-Guided High Precision Assembly
Jieliang Luo
Hui Li
252
20
0
15 Oct 2020
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
Nahid Parvez Farazi
T. Ahamed
Limon Barua
Bo Zou
AI4TS
163
20
0
13 Oct 2020
Model-Free Control of Dynamical Systems with Deep Reservoir Computing
D. Canaday
Andrew Pomerance
D. Gauthier
116
45
0
05 Oct 2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban
Peter Karkus
M. Berk Mirza
A. Guez
Andrew Jaegle
Timothy Lillicrap
Lars Buesing
N. Heess
T. Weber
OffRL
196
8
0
03 Oct 2020
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
949
92
0
17 Sep 2020
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment
Jithin Jagannath
Anu Jagannath
Sean Furman
Tyler Gwin
197
26
0
07 Sep 2020
Learning to Actively Reduce Memory Requirements for Robot Control Tasks
Meghan Booker
Anirudha Majumdar
134
4
0
17 Aug 2020
Multi-Agent Deep Reinforcement Learning enabled Computation Resource Allocation in a Vehicular Cloud Network
Shilin Xu
Caili Guo
R. Hu
Y. Qian
243
6
0
14 Aug 2020
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection
International Journal of Machine Learning and Cybernetics (IJMLC), 2020
Tianming Wang
Wenjie Lu
H. Yu
Dikai Liu
188
1
0
29 Jul 2020
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning
Transportation Research Part C: Emerging Technologies (Transp. Res. Part C), 2020
Xuan Di
Rongye Shi
269
207
0
10 Jul 2020
Hybrid Tensor Decomposition in Neural Network Compression
Bijiao Wu
Dingheng Wang
Guangshe Zhao
Lei Deng
Guoqi Li
144
52
0
29 Jun 2020
Learning Memory-Based Control for Human-Scale Bipedal Locomotion
J. Siekmann
S. Valluri
Jeremy Dao
Lorenzo Bermillo
Helei Duan
Alan Fern
J. Hurst
AI4CE
178
85
0
03 Jun 2020
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization
Pierre-Alexandre Kamienny
Matteo Pirotta
A. Lazaric
Thibault Lavril
Nicolas Usunier
Ludovic Denoyer
237
19
0
06 May 2020
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning
Jeffrey M. Ede
744
14
0
06 Apr 2020
Dynamic Energy Dispatch Based on Deep Reinforcement Learning in IoT-Driven Smart Isolated Microgrids
IEEE Internet of Things Journal (IEEE IoT J.), 2020
Lei Lei
Yue Tan
Glenn Dahlenburg
W. Xiang
K. Zheng
172
81
0
07 Feb 2020
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach
AAAI Conference on Artificial Intelligence (AAAI), 2019
Jun Wang
Haifeng Zhang
Qi Liu
Zhen Pan
Hanqing Tao
111
6
0
27 Dec 2019
Variational Recurrent Models for Solving Partially Observable Control Tasks
International Conference on Learning Representations (ICLR), 2019
Dongqi Han
Kenji Doya
Jun Tani
DRL
OffRL
136
72
0
23 Dec 2019
Deep Reinforcement Learning for Motion Planning of Mobile Robots
Leonid Butyrev
Thorsten Edelhäußer
Christopher Mutschler
68
16
0
19 Dec 2019
OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research
Ashish Kumar
Toby Buckley
John B. Lanier
Qiaozhi Wang
A. Kavelaars
Ilya Kuzovkin
OffRL
253
15
0
18 Oct 2019
SafeCritic: Collision-Aware Trajectory Prediction
T. V. D. Heiden
N. S. Nagaraja
Christian Weiss
E. Gavves
AAML
215
21
0
15 Oct 2019
Meta-Q-Learning
International Conference on Learning Representations (ICLR), 2019
Rasool Fakoor
Pratik Chaudhari
Stefano Soatto
Alex Smola
OffRL
302
159
0
30 Sep 2019
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Pawel Ladosz
Eseoghene Ben-Iwhiwhu
Jeffery Dick
Yang Hu
Nicholas A. Ketz
Soheil Kolouri
J. Krichmar
Praveen K. Pilly
Andrea Soltoggio
275
22
0
21 Sep 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
IEEE Communications Surveys and Tutorials (COMST), 2019
Lei Lei
Yue Tan
Kan Zheng
Shiwen Liu
K. Zheng
Xuemin Shen
Shen
OffRL
295
241
0
22 Jul 2019
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDL
SSL
DRL
742
2,796
0
06 Jun 2019
Target-Based Temporal Difference Learning
Donghwan Lee
Niao He
OOD
161
33
0
24 Apr 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
International Conference on Machine Learning (ICML), 2019
Kate Rakelly
Aurick Zhou
Deirdre Quillen
Chelsea Finn
Sergey Levine
OffRL
245
742
0
19 Mar 2019
Viewpoint Optimization for Autonomous Strawberry Harvesting with Deep Reinforcement Learning
Jonathon Sather
Xiaozheng Jane Zhang
OffRL
83
4
0
05 Mar 2019
Emergent Coordination Through Competition
Siqi Liu
Guy Lever
J. Merel
S. Tunyasuvunakool
N. Heess
T. Graepel
292
157
0
19 Feb 2019
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks
Dongqi Han
Kenji Doya
Jun Tani
AI4CE
320
21
0
29 Jan 2019
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization
Pengqian Yu
J. Lee
Ilya Kulyatin
Zekun Shi
Sakyasingha Dasgupta
171
74
0
25 Jan 2019
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