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Continuous control with deep reinforcement learning
v1v2v3v4v5v6 (latest)

Continuous control with deep reinforcement learning

9 September 2015
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
ArXiv (abs)PDFHTML

Papers citing "Continuous control with deep reinforcement learning"

50 / 4,796 papers shown
Biomechanic Posture Stabilisation via Iterative Training of Multi-policy
  Deep Reinforcement Learning Agents
Biomechanic Posture Stabilisation via Iterative Training of Multi-policy Deep Reinforcement Learning Agents
M. Hossny
Julie Iskander
104
1
0
21 Aug 2020
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and
  Online Inference
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference
Liting Sun
Zheng Wu
Hengbo Ma
Masayoshi Tomizuka
OffRL
203
7
0
20 Aug 2020
FIRM: An Intelligent Fine-Grained Resource Management Framework for
  SLO-Oriented Microservices
FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices
Haoran Qiu
Subho Sankar Banerjee
Saurabh Jha
Zbigniew T. Kalbarczyk
Ravishankar Iyer
203
311
0
19 Aug 2020
Balanced Order Batching with Task-Oriented Graph Clustering
Balanced Order Batching with Task-Oriented Graph Clustering
Lu Duan
Haoyuan Hu
Zili Wu
Guozheng Li
Xinhang Zhang
Yu Gong
Yinghui Xu
170
3
0
19 Aug 2020
Channel-wise Hessian Aware trace-Weighted Quantization of Neural
  Networks
Channel-wise Hessian Aware trace-Weighted Quantization of Neural Networks
Xu Qian
Victor Li
Darren Crews
MQ
117
9
0
19 Aug 2020
Optimal control towards sustainable wastewater treatment plants based on
  multi-agent reinforcement learning
Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning
Kehua Chen
Hongcheng Wang
Borja Valverde Perez
Siyuan Zhai
L. Vezzaro
Aijie Wang
64
0
0
19 Aug 2020
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot
  Soccer
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer
H. Bassani
R. A. Delgado
J. N. D. O. L. Junior
H. R. Medeiros
Pedro H. M. Braga
Mateus G. Machado
L. H. C. Santos
Alain Tapp
107
12
0
18 Aug 2020
Learning Complex Multi-Agent Policies in Presence of an Adversary
Learning Complex Multi-Agent Policies in Presence of an Adversary
Siddharth Ghiya
Katia Sycara
138
3
0
18 Aug 2020
DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation
  for Network Slicing
DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing
Qiang Liu
T. Han
Ning Zhang
Ye Wang
111
46
0
17 Aug 2020
On the Sample Complexity of Reinforcement Learning with Policy Space
  Generalization
On the Sample Complexity of Reinforcement Learning with Policy Space Generalization
Wenlong Mou
Zheng Wen
Xi Chen
183
12
0
17 Aug 2020
Forward and inverse reinforcement learning sharing network weights and
  hyperparameters
Forward and inverse reinforcement learning sharing network weights and hyperparameters
E. Uchibe
Kenji Doya
145
22
0
17 Aug 2020
A Survey of Deep Learning for Data Caching in Edge Network
A Survey of Deep Learning for Data Caching in Edge Network
Yantong Wang
V. Friderikos
153
37
0
17 Aug 2020
Autonomous Braking and Throttle System: A Deep Reinforcement Learning
  Approach for Naturalistic Driving
Autonomous Braking and Throttle System: A Deep Reinforcement Learning Approach for Naturalistic Driving
Varshit S. Dubey
Ruhshad Kasad
Karan Agrawal
74
9
0
15 Aug 2020
Explainability in Deep Reinforcement Learning
Explainability in Deep Reinforcement Learning
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
XAI
848
317
0
15 Aug 2020
Visuomotor Mechanical Search: Learning to Retrieve Target Objects in
  Clutter
Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter
Andrey Kurenkov
Joseph C. Taglic
Rohun Kulkarni
Marcus Dominguez-Kuhne
Animesh Garg
Roberto Martín-Martín
Silvio Savarese
185
49
0
13 Aug 2020
Robust Image Matching By Dynamic Feature Selection
Robust Image Matching By Dynamic Feature SelectionBritish Machine Vision Conference (BMVC), 2020
Niraj Pudasaini
Jianchun Chen
Xiang Li
Lingjing Wang
Yi Fang
257
3
0
13 Aug 2020
Model-Based Offline Planning
Model-Based Offline PlanningInternational Conference on Learning Representations (ICLR), 2020
Arthur Argenson
Gabriel Dulac-Arnold
OffRL
341
161
0
12 Aug 2020
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning
Overcoming Model Bias for Robust Offline Deep Reinforcement LearningEngineering applications of artificial intelligence (EAAI), 2020
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
334
89
0
12 Aug 2020
An ocular biomechanics environment for reinforcement learning
An ocular biomechanics environment for reinforcement learningJournal of Biomechanics (J Biomech), 2020
Julie Iskander
M. Hossny
123
4
0
12 Aug 2020
Hardware-Centric AutoML for Mixed-Precision Quantization
Hardware-Centric AutoML for Mixed-Precision QuantizationInternational Journal of Computer Vision (IJCV), 2020
Kuan-Chieh Wang
Zhijian Liu
Chengyue Wu
Ji Lin
Song Han
MQ
135
18
0
11 Aug 2020
Learning Event-triggered Control from Data through Joint Optimization
Learning Event-triggered Control from Data through Joint OptimizationIFAC Journal of Systems and Control (JISC), 2020
Niklas Funk
Dominik Baumann
V. Berenz
Sebastian Trimpe
213
23
0
11 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a
  Survey
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey
Aske Plaat
W. Kosters
Mike Preuss
BDLOffRL
399
17
0
11 Aug 2020
Hardware as Policy: Mechanical and Computational Co-Optimization using
  Deep Reinforcement Learning
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement LearningConference on Robot Learning (CoRL), 2020
Tianjian Chen
Zhanpeng He
M. Ciocarlie
195
57
0
11 Aug 2020
TriFinger: An Open-Source Robot for Learning Dexterity
TriFinger: An Open-Source Robot for Learning DexterityConference on Robot Learning (CoRL), 2020
Manuel Wüthrich
Felix Widmaier
F. Grimminger
J. Akpo
S. Joshi
...
Julian Viereck
M. Naveau
Ludovic Righetti
Bernhard Schölkopf
Stefan Bauer
187
77
0
08 Aug 2020
Cyrus 2D Simulation Team Description Paper2018
Cyrus 2D Simulation Team Description Paper2018
Nader Zare
Mohsen Sadeghipour
A. Keshavarzi
Mahtab Sarvmaili
Amin Nikanjam
R. Aghayari
Arad Firouzkoohi
Mohammad Abolnejad
Sina Elahimanesh
Amin Akhgari
79
3
0
08 Aug 2020
Hierarchical Reinforcement Learning in StarCraft II with Human Expertise
  in Subgoals Selection
Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection
Xinyi Xu
Tiancheng Huang
Pengfei Wei
Akshay Narayan
Tze-Yun Leong
195
5
0
08 Aug 2020
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a
  Braille Keyboard
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille KeyboardIEEE Robotics and Automation Letters (RA-L), 2020
Alex Church
John Lloyd
R. Hadsell
Nathan Lepora
135
33
0
06 Aug 2020
Offline Meta Learning of Exploration
Offline Meta Learning of Exploration
Ron Dorfman
Idan Shenfeld
Aviv Tamar
OffRL
235
20
0
06 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with
  Imagined Goals
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals
Ozsel Kilinc
Giovanni Montana
126
5
0
05 Aug 2020
Fast Adaptive Task Offloading in Edge Computing based on Meta
  Reinforcement Learning
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning
Jin Wang
Jia Hu
Geyong Min
Albert Y. Zomaya
N. Georgalas
OffRL
240
317
0
05 Aug 2020
Robust Deep Reinforcement Learning through Adversarial Loss
Robust Deep Reinforcement Learning through Adversarial Loss
Tuomas P. Oikarinen
Wang Zhang
Alexandre Megretski
Luca Daniel
Tsui-Wei Weng
AAML
387
115
0
05 Aug 2020
Learning Power Control from a Fixed Batch of Data
Learning Power Control from a Fixed Batch of Data
M. Khoshkholgh
H. Yanikomeroglu
OffRL
105
2
0
05 Aug 2020
A Relearning Approach to Reinforcement Learning for Control of Smart
  Buildings
A Relearning Approach to Reinforcement Learning for Control of Smart Buildings
Avisek Naug
Marcos Quiñones-Grueiro
G. Biswas
CLL
113
12
0
04 Aug 2020
Faded-Experience Trust Region Policy Optimization for Model-Free Power
  Allocation in Interference Channel
Faded-Experience Trust Region Policy Optimization for Model-Free Power Allocation in Interference Channel
M. Khoshkholgh
H. Yanikomeroglu
97
8
0
04 Aug 2020
Reinforced Epidemic Control: Saving Both Lives and Economy
Reinforced Epidemic Control: Saving Both Lives and Economy
Sirui Song
Zefang Zong
Yong Li
Xue Liu
Yang Yu
120
29
0
04 Aug 2020
Action sequencing using visual permutations
Action sequencing using visual permutations
Michael G. Burke
Kartic Subr
S. Ramamoorthy
LRM
174
4
0
03 Aug 2020
Proximal Deterministic Policy Gradient
Proximal Deterministic Policy Gradient
Marco Maggipinto
Gian Antonio Susto
Pratik Chaudhari
OffRL
139
5
0
03 Aug 2020
Autonomous Navigation in Complex Environments with Deep Multimodal
  Fusion Network
Autonomous Navigation in Complex Environments with Deep Multimodal Fusion NetworkIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
A. Nguyen
Ngoc Son Nguyen
K. Tran
Erman Tjiputra
Quang-Dieu Tran
149
45
0
31 Jul 2020
Understanding the Stability of Deep Control Policies for Biped
  Locomotion
Understanding the Stability of Deep Control Policies for Biped LocomotionThe Visual Computer (Vis. Comput.), 2020
Hwangpil Park
R. Yu
Yoonsang Lee
Kyungho Lee
Jehee Lee
108
10
0
30 Jul 2020
Modular Transfer Learning with Transition Mismatch Compensation for
  Excessive Disturbance Rejection
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance RejectionInternational Journal of Machine Learning and Cybernetics (IJMLC), 2020
Tianming Wang
Wenjie Lu
H. Yu
Dikai Liu
188
1
0
29 Jul 2020
Compare and Select: Video Summarization with Multi-Agent Reinforcement
  Learning
Compare and Select: Video Summarization with Multi-Agent Reinforcement Learning
Tianyu Liu
98
1
0
29 Jul 2020
Statistical Bootstrapping for Uncertainty Estimation in Off-Policy
  Evaluation
Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation
Ilya Kostrikov
Ofir Nachum
OffRL
174
31
0
27 Jul 2020
Self-Adapting Recurrent Models for Object Pushing from Learning in
  Simulation
Self-Adapting Recurrent Models for Object Pushing from Learning in SimulationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Lin Cong
Michael Görner
Philipp Ruppel
Hongzhuo Liang
Norman Hendrich
Jianwei Zhang
237
15
0
27 Jul 2020
Learning Compositional Neural Programs for Continuous Control
Learning Compositional Neural Programs for Continuous Control
Thomas Pierrot
Nicolas Perrin
Feryal M. P. Behbahani
Alexandre Laterre
Olivier Sigaud
Karim Beguir
Nando de Freitas
CLL
255
4
0
27 Jul 2020
Maximum Mutation Reinforcement Learning for Scalable Control
Maximum Mutation Reinforcement Learning for Scalable Control
Karush Suri
Xiaolong Shi
Konstantinos N. Plataniotis
Y. Lawryshyn
300
4
0
24 Jul 2020
Adaptive Energy Management for Real Driving Conditions via Transfer
  Reinforcement Learning
Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning
Teng Liu
Wenhao Tan
Xiaolin Tang
Jiaxin Chen
Dongpu Cao
84
4
0
24 Jul 2020
Off-Policy Multi-Agent Decomposed Policy Gradients
Off-Policy Multi-Agent Decomposed Policy GradientsInternational Conference on Learning Representations (ICLR), 2020
Yihan Wang
Beining Han
Tonghan Wang
Heng Dong
Chongjie Zhang
218
202
0
24 Jul 2020
Value-Decomposition Multi-Agent Actor-Critics
Value-Decomposition Multi-Agent Actor-CriticsAAAI Conference on Artificial Intelligence (AAAI), 2020
Jianyu Su
Stephen C. Adams
Peter A. Beling
399
132
0
24 Jul 2020
Bridging the Imitation Gap by Adaptive Insubordination
Bridging the Imitation Gap by Adaptive InsubordinationNeural Information Processing Systems (NeurIPS), 2020
Luca Weihs
Unnat Jain
Iou-Jen Liu
Jordi Salvador
Svetlana Lazebnik
Aniruddha Kembhavi
Alex Schwing
332
40
0
23 Jul 2020
Deep Reinforcement Learning based Automatic Exploration for Navigation
  in Unknown Environment
Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown EnvironmentIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Haoran Li
Qichao Zhang
Dongbin Zhao
187
220
0
23 Jul 2020
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