Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges

22 July 2019

Papers citing "Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges"

48 / 48 papers shown

Title
Artificial Intelligence for Secured Information Systems in Smart Cities: Collaborative IoT Computing with Deep Reinforcement Learning and Blockchain Amin Zakaie Far Mohammad Zakaie Far Sonia Gharibzadeh Shiva Zangeneh Leila Amini Morteza Rahimi Morteza Rahimi Saeed Asadi 62 5 0 24 Sep 2024
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing Lei Lei Huijuan Xu Xiong Xiong K. Zheng W. Xiang Xianbin Wang 54 52 0 19 Jun 2019
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems Boyi Liu Lujia Wang Ming-Yuan Liu 50 247 0 19 Jan 2019
Exploring applications of deep reinforcement learning for real-world autonomous driving systems V. Talpaert Ibrahim Sobh Ravi Kiran Patrick Mannion S. Yogamani Ahmad El-Sallab P. Pérez 42 74 0 06 Jan 2019
Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach Zhao Chen Xiaodong Wang 36 153 0 16 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 121 1,242 0 30 Nov 2018
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey Nguyen Cong Luong D. Hoang Shimin Gong Dusit Niyato Ping Wang Ying-Chang Liang Dong In Kim OffRL 74 1,430 0 18 Oct 2018
A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving Mayank K. Pal R. Bhati Anil Sharma S. Kaul Saket Anand P. B. Sujit 12 4 0 10 Jul 2018
Learning to Drive in a Day Alex Kendall Jeffrey Hawke David Janz Przemyslaw Mazur Daniele Reda John M. Allen Vinh-Dieu Lam Alex Bewley Amar Shah 85 652 0 01 Jul 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov A. Irpan P. Pastor Julian Ibarz Alexander Herzog ... Deirdre Quillen E. Holly Mrinal Kalakrishnan Vincent Vanhoucke Sergey Levine 98 1,454 0 27 Jun 2018
Deep Variational Reinforcement Learning for POMDPs Maximilian Igl L. Zintgraf T. Le Frank Wood Shimon Whiteson BDL OffRL 56 260 0 06 Jun 2018
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning Xianfu Chen Honggang Zhang Celimuge Wu S. Mao Yusheng Ji Medhi Bennis OffRL 52 483 0 16 May 2018
Distributed Distributional Deterministic Policy Gradients Gabriel Barth-Maron Matthew W. Hoffman David Budden Will Dabney Dan Horgan TB Dhruva Alistair Muldal N. Heess Timothy Lillicrap OffRL 78 479 0 23 Apr 2018
Toward Intelligent Vehicular Networks: A Machine Learning Framework Le Liang Hao Ye Geoffrey Ye Li 35 208 0 01 Apr 2018
Unsupervised Predictive Memory in a Goal-Directed Agent Greg Wayne Chia-Chun Hung David Amos M. Berk Mirza Arun Ahuja ... David Silver Koray Kavukcuoglu M. Botvinick Demis Hassabis Timothy Lillicrap 69 190 0 28 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 157 5,121 0 26 Feb 2018
Machine learning for Internet of Things data analysis: A survey Mohammad Saeid Mahdavinejad M. Rezvan M. Barekatain Peyman Adibi Payam Barnaghi A. Sheth 40 900 0 17 Feb 2018
Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management Ursula Challita Walid Saad C. Bettstetter 51 294 0 16 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 229 8,236 0 04 Jan 2018
Deep Learning for IoT Big Data and Streaming Analytics: A Survey M. Mohammadi Ala I. Al-Fuqaha Sameh Sorour Mohsen Guizani 65 1,053 0 09 Dec 2017
Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning Pinxin Long Tingxiang Fan X. Liao Wenxi Liu Huatian Zhang Jia Pan OOD 58 456 0 28 Sep 2017
Formulation of Deep Reinforcement Learning Architecture Toward Autonomous Driving for On-Ramp Merge Pin Wang Ching-yao Chan AI4CE 38 114 0 07 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 99 2,792 0 19 Aug 2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation Yuhuai Wu Elman Mansimov Shun Liao Roger C. Grosse Jimmy Ba OffRL 45 624 0 17 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 245 18,685 0 20 Jul 2017
On-line Building Energy Optimization using Deep Reinforcement Learning Elena Mocanu Decebal Constantin Mocanu Phuong H. Nguyen A. Liotta M. Webber M. Gibescu J. Slootweg OffRL 54 467 0 18 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 121 4,441 0 07 Jun 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 66 2,062 0 24 May 2017
On Improving Deep Reinforcement Learning for POMDPs Pengfei Zhu Xin Li Pascal Poupart Guanghui Miao 52 123 0 26 Apr 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip Torr Pushmeet Kohli Shimon Whiteson OffRL 175 597 0 28 Feb 2017
End-to-end Learning of Driving Models from Large-scale Video Datasets Huazhe Xu Yang Gao Feng Yu Trevor Darrell 85 824 0 04 Dec 2016
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic S. Gu Timothy Lillicrap Zoubin Ghahramani Richard Turner Sergey Levine OffRL BDL 76 344 0 07 Nov 2016
Sample Efficient Actor-Critic with Experience Replay Ziyun Wang V. Bapst N. Heess Volodymyr Mnih Rémi Munos Koray Kavukcuoglu Nando de Freitas 87 757 0 03 Nov 2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 104 1,477 0 03 Oct 2016
Playing FPS Games with Deep Reinforcement Learning Guillaume Lample Devendra Singh Chaplot OffRL EgoV 66 584 0 18 Sep 2016
Convolutional Neural Networks For Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control Bert Claessens Peter Vrancx F. Ruelens 18 124 0 28 Apr 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 41 147 0 08 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 168 8,805 0 04 Feb 2016
Memory-based control with recurrent neural networks N. Heess Jonathan J. Hunt Timothy Lillicrap David Silver 75 300 0 14 Dec 2015
Reinforcement Learning Applied to an Electric Water Heater: From Theory to Practice F. Ruelens Bert Claessens S. Quaiyum B. de Schutter Robert Babuška R. Belmans 19 138 0 29 Nov 2015
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 67 3,742 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 198 3,781 0 18 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 134 7,590 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 220 13,174 0 09 Sep 2015
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew J. Hausknecht Peter Stone 97 1,668 0 23 Jul 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 247 6,722 0 19 Feb 2015
Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications Mohammad Abu Alsheikh Shaowei Lin Dusit Niyato H. Tan 47 823 0 18 May 2014
Optimal Demand Response Using Device Based Reinforcement Learning Zheng Wen D. OÑeill H. Maei OffRL 44 233 0 08 Jan 2014