Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1509.02971
Cited By
v1
v2
v3
v4
v5
v6 (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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Continuous control with deep reinforcement learning"
50 / 4,795 papers shown
Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control
IEEE/ACM Transactions on Networking (TON), 2021
Qiong Wu
Xu Chen
Zhi Zhou
Liang Chen
Junshan Zhang
94
104
0
21 Jan 2021
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
International Conference on Learning Representations (ICLR), 2021
Daochen Zha
Wenye Ma
Lei Yuan
Helen Zhou
Ji Liu
209
47
0
20 Jan 2021
Flocking and Collision Avoidance for a Dynamic Squad of Fixed-Wing UAVs Using Deep Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Chao Yan
Xiaojia Xiang
Chang Wang
Zhen Lan
87
11
0
20 Jan 2021
Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes
Xinhan Di
Pengqian Yu
3DV
AI4CE
98
6
0
19 Jan 2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging
Nikunj Gupta
G. Srinivasaraghavan
S. Mohalik
Nishant Kumar
Matthew E. Taylor
215
17
0
18 Jan 2021
Deep Reinforcement Learning with Embedded LQR Controllers
IFAC-PapersOnLine (IFAC-PapersOnLine), 2021
W. Caarls
OffRL
37
4
0
18 Jan 2021
Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning
Heechang Ryu
Hayong Shin
Jinkyoo Park
135
7
0
18 Jan 2021
Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System
IEEE Conference on Computer Communications (INFOCOM), 2021
Yiwen Han
Shihao Shen
Xiaofei Wang
Maroun Touma
Victor C. M. Leung
164
69
0
17 Jan 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
International Conference on Learning Representations (ICLR), 2021
Jesse Zhang
Haonan Yu
Wenyuan Xu
BDL
402
95
0
16 Jan 2021
Adaptive Remote Sensing Image Attribute Learning for Active Object Detection
International Conference on Pattern Recognition (ICPR), 2021
Nuo Xu
Chunlei Huo
Jiacheng Guo
Yiwei Liu
Jian Wang
Chunhong Pan
ObjD
185
5
0
16 Jan 2021
Deep Reinforcement Learning for Haptic Shared Control in Unknown Tasks
F. Fernández
W. Caarls
65
3
0
15 Jan 2021
Instance-Aware Predictive Navigation in Multi-Agent Environments
IEEE International Conference on Robotics and Automation (ICRA), 2021
Jinkun Cao
Xin Wang
Trevor Darrell
Feng Yu
133
8
0
14 Jan 2021
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems
Junya Ikemoto
T. Ushio
OffRL
157
5
0
13 Jan 2021
Linear Representation Meta-Reinforcement Learning for Instant Adaptation
Matt Peng
Banghua Zhu
Jiantao Jiao
164
10
0
12 Jan 2021
Bootstrapping Motor Skill Learning with Motion Planning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Ben Abbatematteo
Eric Rosen
Stefanie Tellex
George Konidaris
SSL
155
9
0
12 Jan 2021
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service
AAAI Conference on Artificial Intelligence (AAAI), 2021
Majid Raeis
A. Tizghadam
A. Leon-Garcia
74
24
0
12 Jan 2021
Independent Policy Gradient Methods for Competitive Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
C. Daskalakis
Dylan J. Foster
Noah Golowich
451
178
0
11 Jan 2021
Closing the Planning-Learning Loop with Application to Autonomous Driving
IEEE Transactions on robotics (TRO), 2021
Panpan Cai
David Hsu
189
19
0
11 Jan 2021
Machine Learning for Electronic Design Automation: A Survey
Guyue Huang
Jingbo Hu
Yifan He
Jialong Liu
Mingyuan Ma
...
Yuzhe Ma
Haoyu Yang
Bei Yu
Huazhong Yang
Yu Wang
235
294
0
10 Jan 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
170
23
0
10 Jan 2021
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning
E. Abolfathi
Jun Luo
Peyman Yadmellat
K. Rezaee
OnRL
161
3
0
07 Jan 2021
Coding for Distributed Multi-Agent Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2021
Baoqian Wang
Junfei Xie
Nikolay Atanasov
136
4
0
07 Jan 2021
Adaptive Synthetic Characters for Military Training
Volkan Ustun
Rajay Kumar
Adam Reilly
Seyed Sajjadi
Andrew Miller
AI4CE
71
11
0
06 Jan 2021
Geometric Entropic Exploration
Z. Guo
M. G. Azar
Alaa Saade
S. Thakoor
Bilal Piot
Bernardo Avila-Pires
Michal Valko
Thomas Mesnard
Tor Lattimore
Rémi Munos
221
35
0
06 Jan 2021
Deep Reinforcement Learning with Quantum-inspired Experience Replay
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2021
Qing Wei
Hailan Ma
Chunlin Chen
D. Dong
173
88
0
06 Jan 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
Zeyu Zhu
Huijing Zhao
306
195
0
06 Jan 2021
Reinforcement Learning with Latent Flow
Neural Information Processing Systems (NeurIPS), 2021
Wenling Shang
Xiaofei Wang
A. Srinivas
Aravind Rajeswaran
Yang Gao
Pieter Abbeel
Michael Laskin
OffRL
162
26
0
06 Jan 2021
Control of Stochastic Quantum Dynamics by Differentiable Programming
Frank Schafer
P. Sekatski
M. Koppenhöfer
C. Bruder
M. Kloc
156
18
0
04 Jan 2021
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
Neural Information Processing Systems (NeurIPS), 2021
Jianchao Tan
Xiangyuan Zhang
Bin Hu
Tamer Bacsar
480
19
0
04 Jan 2021
A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognition
Australasian Computer Science Week (ACSW), 2021
Thejan Rajapakshe
R. Rana
Sara Khalifa
Björn W. Schuller
Jiajun Liu
OffRL
273
12
0
04 Jan 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments
IEEE International Conference on Robotics and Automation (ICRA), 2021
Baiming Chen
Zuxin Liu
Jiacheng Zhu
Mengdi Xu
Wenhao Ding
Ding Zhao
146
44
0
02 Jan 2021
Effective Communications: A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning over Noisy Channels
Tze-Yang Tung
S. Kobus
Joan S. Pujol Roig
Deniz Gunduz
245
2
0
02 Jan 2021
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach
International Conference on Automated Software Engineering (ASE), 2021
Amin Nikanjam
Mohammad Mehdi Morovati
Foutse Khomh
Houssem Ben Braiek
180
40
0
01 Jan 2021
Deep Graph Generators: A Survey
IEEE Access (IEEE Access), 2020
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
GNN
AI4CE
247
67
0
31 Dec 2020
Towards Understanding Asynchronous Advantage Actor-critic: Convergence and Linear Speedup
IEEE Transactions on Signal Processing (TSP), 2020
Han Shen
Jianchao Tan
Min-Fong Hong
Tianyi Chen
324
44
0
31 Dec 2020
Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization
Yoav Alon
Huiyu Zhou
233
11
0
31 Dec 2020
Curriculum-based Deep Reinforcement Learning for Quantum Control
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Hailan Ma
D. Dong
S. Ding
Chunlin Chen
166
45
0
31 Dec 2020
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning
D. Graves
Jun Jin
Jun Luo
173
2
0
29 Dec 2020
Reinforcement Learning for Control of Valves
Machine Learning with Applications (MLWA), 2020
Rajesh Siraskar
AI4CE
55
38
0
29 Dec 2020
The Adaptive Dynamic Programming Toolbox
Italian National Conference on Sensors (INS), 2020
Xiaowei Xing
D. Chang
32
8
0
29 Dec 2020
Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing
IEEE Internet of Things Journal (IEEE IoT J.), 2020
Zheqi Zhu
Shuo Wan
Pingyi Fan
Khaled B. Letaief
422
92
0
28 Dec 2020
Portfolio Optimization with 2D Relative-Attentional Gated Transformer
Tae Wan Kim
Matloob Khushi
AI4TS
104
13
0
27 Dec 2020
Generation of Traffic Flows in Multi-Agent Traffic Simulation with Agent Behavior Model based on Deep Reinforcement Learning
Junjie Zhong
Hiromitsu Hattori
AI4CE
59
0
0
26 Dec 2020
Imitation Learning for High Precision Peg-in-Hole Tasks
S. Gubbi
Shishir Kolathaya
B. Amrutur
125
22
0
26 Dec 2020
POPO: Pessimistic Offline Policy Optimization
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Qiang He
Xinwen Hou
OffRL
214
10
0
26 Dec 2020
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
International Conference on Machine Learning (ICML), 2020
Susan Amin
Maziar Gomrokchi
Hossein Aboutalebi
Harsh Satija
Doina Precup
172
17
0
26 Dec 2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Y. Fu
Zhongzhi Yu
Yongan Zhang
Yingyan Lin
280
5
0
24 Dec 2020
Deep Stock Trading: A Hierarchical Reinforcement Learning Framework for Portfolio Optimization and Order Execution
AAAI Conference on Artificial Intelligence (AAAI), 2020
Rongpin Wang
Jianguo Huang
Bo An
Zhouyan Feng
Jun Yao
AIFin
379
49
0
23 Dec 2020
Combining Deep Reinforcement Learning And Local Control For The Acrobot Swing-up And Balance Task
IEEE Conference on Decision and Control (CDC), 2020
Sean Gillen
Marco Molnar
Katie Byl
88
10
0
21 Dec 2020
Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a Swarm of Buoys
M. Kouzehgar
Malika Meghjani
Roland Bouffanais
73
31
0
21 Dec 2020
Previous
1
2
3
...
59
60
61
...
94
95
96
Next