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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
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with
  Base Controllers
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base ControllersIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Guangming Wang
Minjian Xin
Wenhua Wu
Yanfeng Guo
Hesheng Wang
OffRL
129
26
0
24 Nov 2020
An analysis of Reinforcement Learning applied to Coach task in IEEE Very
  Small Size Soccer
An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size SoccerLatin American Robotics Symposium (LARS), 2020
Carlos H. C. Pena
Mateus G. Machado
M. S. Barros
José D. P. Silva
Lucas D. Maciel
Ing Ren Tsang
Edna N. S. Barros
Pedro H. M. Braga
H. Bassani
89
2
0
23 Nov 2020
Path Design and Resource Management for NOMA enhanced Indoor Intelligent
  Robots
Path Design and Resource Management for NOMA enhanced Indoor Intelligent RobotsIEEE Transactions on Wireless Communications (TWC), 2020
Ruikang Zhong
Xiao-Yang Liu
Yuanwei Liu
Yue Chen
Xianbin Wang
188
15
0
23 Nov 2020
Primal-dual Learning for the Model-free Risk-constrained Linear
  Quadratic Regulator
Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic RegulatorConference on Learning for Dynamics & Control (L4DC), 2020
Feiran Zhao
Keyou You
163
22
0
22 Nov 2020
Reinforcement learning with distance-based incentive/penalty (DIP) updates for highly constrained industrial control systems
Hyungju Park
Daiki Min
Jong-hyun Ryu
D. Choi
97
0
0
22 Nov 2020
Learning How to Solve Bubble Ball
Learning How to Solve Bubble BallConference on Learning for Dynamics & Control (L4DC), 2020
Hotae Lee
Monimoy Bujarbaruah
Francesco Borrelli
AI4CE
69
0
0
20 Nov 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric
  Model Uncertainty
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty
A. Guha
Anuradha M. Annaswamy
109
12
0
20 Nov 2020
Energy Aware Deep Reinforcement Learning Scheduling for Sensors
  Correlated in Time and Space
Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and SpaceIEEE Internet of Things Journal (IEEE IoT J.), 2020
Jernej Hribar
Andrei Marinescu
A. Chiumento
Luiz DaSilva
176
21
0
19 Nov 2020
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading
  in Quantitative Finance
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative FinanceSocial Science Research Network (SSRN), 2020
Xiao-Yang Liu
Hongyang Yang
Qian Chen
Runjia Zhang
Liuqing Yang
Bowen Xiao
Chris Wang
AIFinOffRL
322
157
0
19 Nov 2020
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to
  Inverse Imaging Problems
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging ProblemsJournal of machine learning research (JMLR), 2020
Kaixuan Wei
Angelica Aviles-Rivero
Jingwei Liang
Ying Fu
Hua Huang
Carola-Bibiane Schönlieb
272
37
0
18 Nov 2020
Indoor Point-to-Point Navigation with Deep Reinforcement Learning and
  Ultra-wideband
Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-widebandInternational Conference on Agents and Artificial Intelligence (ICAART), 2020
Enrico Sutera
Vittorio Mazzia
Francesco Salvetti
Giovanni Fantin
Marcello Chiaberge
140
8
0
18 Nov 2020
Weighted Entropy Modification for Soft Actor-Critic
Weighted Entropy Modification for Soft Actor-Critic
Yizhou Zhao
Song-Chun Zhu
158
1
0
18 Nov 2020
A User's Guide to Calibrating Robotics Simulators
A User's Guide to Calibrating Robotics Simulators
Bhairav Mehta
Ankur Handa
Dieter Fox
F. Ramos
176
12
0
17 Nov 2020
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale
  Inversion Problem
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem
Eric T. Chung
Y. Efendiev
W. Leung
Sai-Mang Pun
Zecheng Zhang
134
13
0
17 Nov 2020
Fault-Aware Robust Control via Adversarial Reinforcement Learning
Fault-Aware Robust Control via Adversarial Reinforcement LearningCyber .. (CYBER), 2020
Fan Yang
Chao Yang
Di Guo
Huaping Liu
F. Sun
145
5
0
17 Nov 2020
Combining Reinforcement Learning with Model Predictive Control for
  On-Ramp Merging
Combining Reinforcement Learning with Model Predictive Control for On-Ramp MergingInternational Conference on Intelligent Transportation Systems (ITSC), 2020
Joseph Lubars
Harsh Gupta
Sandeep Chinchali
Liyun Li
A. Raja
R. Srikant
Xinzhou Wu
230
40
0
17 Nov 2020
Deep Reinforcement Learning and Permissioned Blockchain for Content
  Caching in Vehicular Edge Computing and Networks
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and NetworksIEEE Transactions on Vehicular Technology (TVT), 2020
Yueyue Dai
Du Xu
Kecheng Zhang
Sabita Maharjan
Yan Zhang
152
201
0
17 Nov 2020
Edge Intelligence for Energy-efficient Computation Offloading and
  Resource Allocation in 5G Beyond
Edge Intelligence for Energy-efficient Computation Offloading and Resource Allocation in 5G BeyondIEEE Transactions on Vehicular Technology (TVT), 2020
Yueyue Dai
Ke Zhang
Sabita Maharjan
Yan Zhang
184
164
0
17 Nov 2020
Reachability-based Trajectory Safeguard (RTS): A Safe and Fast
  Reinforcement Learning Safety Layer for Continuous Control
Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous ControlIEEE Robotics and Automation Letters (RA-L), 2020
Y. Shao
Chao Chen
Shreyas Kousik
Ram Vasudevan
228
69
0
17 Nov 2020
Multi-Step Recurrent Q-Learning for Robotic Velcro Peeling
Multi-Step Recurrent Q-Learning for Robotic Velcro PeelingIEEE International Conference on Robotics and Automation (ICRA), 2020
Jiachen Yuan
Nicolai Häni
Volkan Isler
162
7
0
16 Nov 2020
Towards Learning Controllable Representations of Physical Systems
Towards Learning Controllable Representations of Physical Systems
Kevin Haninger
R. Vicente-Garcia
J. Krüger
188
1
0
16 Nov 2020
ACDER: Augmented Curiosity-Driven Experience Replay
ACDER: Augmented Curiosity-Driven Experience ReplayIEEE International Conference on Robotics and Automation (ICRA), 2020
Boyao Li
Tao Lu
Jiayi Li
N. Lu
Yinghao Cai
Shuo Wang
139
21
0
16 Nov 2020
Meta Automatic Curriculum Learning
Meta Automatic Curriculum Learning
Rémy Portelas
Clément Romac
Katja Hofmann
Pierre-Yves Oudeyer
200
8
0
16 Nov 2020
Constrained Model-Free Reinforcement Learning for Process Optimization
Constrained Model-Free Reinforcement Learning for Process OptimizationComputers and Chemical Engineering (CCE), 2020
Elton Pan
Panagiotis Petsagkourakis
M. Mowbray
Dongda Zhang
Antonio del Rio-Chanona
194
41
0
16 Nov 2020
Towards a General Framework for ML-based Self-tuning Databases
Towards a General Framework for ML-based Self-tuning Databases
Thomas Schmied
Diego Didona
Andreas Doring
Thomas Parnell
Nikolas Ioannou
146
13
0
16 Nov 2020
Blind Decision Making: Reinforcement Learning with Delayed Observations
Blind Decision Making: Reinforcement Learning with Delayed ObservationsInternational Conference on Automated Planning and Scheduling (ICAPS), 2020
Mridul Agarwal
Vaneet Aggarwal
OffRL
136
28
0
16 Nov 2020
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and
  Benchmarking
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking
Fabio Pardo
OffRL
212
32
0
15 Nov 2020
PLAS: Latent Action Space for Offline Reinforcement Learning
PLAS: Latent Action Space for Offline Reinforcement LearningConference on Robot Learning (CoRL), 2020
Wenxuan Zhou
Sujay Bajracharya
David Held
OffRL
236
175
0
14 Nov 2020
Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for
  Emerging Storage Models
Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for Emerging Storage Models
Nan Wu
Pengcheng Li
166
10
0
13 Nov 2020
Robotic self-representation improves manipulation skills and transfer
  learning
Robotic self-representation improves manipulation skills and transfer learning
Phuong D. H. Nguyen
Manfred Eppe
S. Wermter
SSL
117
1
0
13 Nov 2020
Reinforcement Learning Control of Constrained Dynamic Systems with
  Uniformly Ultimate Boundedness Stability Guarantee
Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee
Minghao Han
Yuan Tian
Lixian Zhang
Jun Wang
Wei Pan
144
57
0
13 Nov 2020
Critic PI2: Master Continuous Planning via Policy Improvement with Path
  Integrals and Deep Actor-Critic Reinforcement Learning
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement LearningInternational Conference on Advanced Robotics and Mechatronics (ICARM), 2020
Jiajun Fan
He Ba
Xian Guo
Jianye Hao
OffRL
101
7
0
13 Nov 2020
Steady State Analysis of Episodic Reinforcement Learning
Steady State Analysis of Episodic Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2020
Bojun Huang
OffRL
113
27
0
12 Nov 2020
On Using Hamiltonian Monte Carlo Sampling for Reinforcement Learning
  Problems in High-dimension
On Using Hamiltonian Monte Carlo Sampling for Reinforcement Learning Problems in High-dimension
Udari Madhushani
Biswadip Dey
Naomi Ehrich Leonard
Amit Chakraborty
OffRL
355
2
0
11 Nov 2020
CRPO: A New Approach for Safe Reinforcement Learning with Convergence
  Guarantee
CRPO: A New Approach for Safe Reinforcement Learning with Convergence GuaranteeInternational Conference on Machine Learning (ICML), 2020
Tengyu Xu
Yingbin Liang
Guanghui Lan
334
151
0
11 Nov 2020
Offline Learning of Counterfactual Predictions for Real-World Robotic
  Reinforcement Learning
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2020
Jun Jin
D. Graves
Cameron Haigh
Jun Luo
Martin Jägersand
SSLOffRL
242
6
0
11 Nov 2020
Detecting Adversarial Patches with Class Conditional Reconstruction
  Networks
Detecting Adversarial Patches with Class Conditional Reconstruction Networks
Perry Deng
Mohammad Saidur Rahman
M. Wright
AAML
196
2
0
11 Nov 2020
Reinforcement Learning Experiments and Benchmark for Solving Robotic
  Reaching Tasks
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks
Pierre Aumjaud
David McAuliffe
Francisco J. Rodríguez-Lera
P. Cardiff
124
16
0
11 Nov 2020
Reinforcement Learning with Time-dependent Goals for Robotic Musicians
Reinforcement Learning with Time-dependent Goals for Robotic Musicians
Thilo Fryen
Manfred Eppe
Phuong D. H. Nguyen
Timo Gerkmann
S. Wermter
127
4
0
11 Nov 2020
Adaptive Neural Architectures for Recommender Systems
Adaptive Neural Architectures for Recommender Systems
Dimitrios Rafailidis
Stefanos Antaris
121
0
0
11 Nov 2020
Proximal Policy Optimization via Enhanced Exploration Efficiency
Proximal Policy Optimization via Enhanced Exploration Efficiency
Junwei Zhang
Zhenghao Zhang
Shuai Han
Shuai Lu
278
58
0
11 Nov 2020
Perturbation-based exploration methods in deep reinforcement learning
Perturbation-based exploration methods in deep reinforcement learning
Sneha Aenugu
105
0
0
10 Nov 2020
Self-supervised Graph Representation Learning via Bootstrapping
Self-supervised Graph Representation Learning via Bootstrapping
Feihu Che
Guohua Yang
Dawei Zhang
Jianhua Tao
Pengpeng Shao
Tong Liu
SSL
200
25
0
10 Nov 2020
Model-based Reinforcement Learning from Signal Temporal Logic
  Specifications
Model-based Reinforcement Learning from Signal Temporal Logic Specifications
Parv Kapoor
Anand Balakrishnan
Jyotirmoy V. Deshmukh
123
25
0
10 Nov 2020
Challenges of Applying Deep Reinforcement Learning in Dynamic
  Dispatching
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching
H. Khorasgani
Haiyan Wang
Chetan Gupta
OffRLOnRL
110
11
0
09 Nov 2020
Behavior Planning at Urban Intersections through Hierarchical
  Reinforcement Learning
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning
Zhiqian Qiao
J. Schneider
John M. Dolan
100
26
0
09 Nov 2020
Deep reinforcement learning for RAN optimization and control
Deep reinforcement learning for RAN optimization and control
Yu Chen
Jie Chen
G. Krishnamurthi
Huijing Yang
Huahui Wang
Wenjie Zhao
82
2
0
09 Nov 2020
Exploring market power using deep reinforcement learning for intelligent
  bidding strategies
Exploring market power using deep reinforcement learning for intelligent bidding strategies
Alexander J. M. Kell
M. Forshaw
A. Mcgough
74
9
0
08 Nov 2020
On the role of planning in model-based deep reinforcement learning
On the role of planning in model-based deep reinforcement learning
Jessica B. Hamrick
A. Friesen
Feryal M. P. Behbahani
A. Guez
Fabio Viola
Sims Witherspoon
Thomas W. Anthony
Lars Buesing
Petar Velickovic
T. Weber
OffRL
359
71
0
08 Nov 2020
MAGIC: Learning Macro-Actions for Online POMDP Planning
MAGIC: Learning Macro-Actions for Online POMDP Planning
Yiyuan Lee
Panpan Cai
David Hsu
325
26
0
07 Nov 2020
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