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A Brief Survey of Deep Reinforcement Learning

19 August 2017

Anil Anthony Bharath

Papers citing "A Brief Survey of Deep Reinforcement Learning"

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Title
Machine Learning Tips and Tricks for Power Line Communications Andrea M. Tonello N. A. Letizia Davide Righini Francesco Marcuzzi 32 30 0 24 Apr 2019
Safer Deep RL with Shallow MCTS: A Case Study in Pommerman Bilal Kartal Pablo Hernandez-Leal Chao Gao Matthew E. Taylor OffRL 94 7 0 10 Apr 2019
Reducing catastrophic forgetting when evolving neural networks Joseph Early 25 2 0 05 Apr 2019
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization Michael Volpp Lukas P. Frohlich Kirsten Fischer Andreas Doerr Stefan Falkner Frank Hutter Christian Daniel 105 85 0 04 Apr 2019
Exposing GAN-synthesized Faces Using Landmark Locations Xin Yang Yuezun Li H. Qi Siwei Lyu GAN CVBM 96 109 0 30 Mar 2019
Autonomous Highway Driving using Deep Reinforcement Learning S. Nageshrao H. E. Tseng Dimitar Filev 75 106 0 29 Mar 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools R. Mayer Hans-Arno Jacobsen GNN 81 193 0 27 Mar 2019
gym-gazebo2, a toolkit for reinforcement learning using ROS 2 and Gazebo N. G. Lopez Y. Nuin Elias Barba Moral Lander Usategui San Juan A. Rueda Víctor Mayoral-Vilches R. Kojcev OffRL 50 35 0 14 Mar 2019
Machine Learning in IoT Security: Current Solutions and Future Challenges Fatima Hussain Rasheed Hussain Syed Ali Hassan Ekram Hossain 87 537 0 14 Mar 2019
A Review of Reinforcement Learning for Autonomous Building Energy Management Karl Mason S. Grijalva AI4CE 74 224 0 12 Mar 2019
Viewpoint Optimization for Autonomous Strawberry Harvesting with Deep Reinforcement Learning Jonathon Sather Xiaozheng Jane Zhang OffRL 26 3 0 05 Mar 2019
Deep Reinforcement Learning for Adaptive Caching in Hierarchical Content Delivery Networks A. Sadeghi G. Wang G. Giannakis 46 6 0 27 Feb 2019
Deep Reinforcement Learning Based High-level Driving Behavior Decision-making Model in Heterogeneous Traffic Zhengwei Bai B. Cai Shangguan Wei Linguo Chai 83 31 0 15 Feb 2019
Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach Nitthilan Kanappan Jayakodi Anwesha Chatterjee Wonje Choi J. Doppa P. Pande 48 28 0 29 Jan 2019
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 203 612 0 01 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 139 795 0 31 Dec 2018
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching Chen Qu Feng Ji Minghui Qiu Liu Yang Zhiyu Min Haiqing Chen Jun Huang W. Bruce Croft 70 39 0 30 Dec 2018
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search Yesmina Jaâfra J. Laurent A. Deruyver M. Naceur OOD 49 14 0 17 Dec 2018
Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach Zhao Chen Xiaodong Wang 80 156 0 16 Dec 2018
ADARES: Adaptive Resource Management for Virtual Machines Ignacio Cano Lequn Chen Pedro Fonseca Tianqi Chen Chern Cheah Karan Gupta Ramesh Chandra Arvind Krishnamurthy 21 4 0 05 Dec 2018
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL Bilal Kartal Pablo Hernandez-Leal Matthew E. Taylor OffRL 122 9 0 30 Nov 2018
Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning Mark Schutera Niklas Goby S. Smolarek Markus Reischl 33 7 0 27 Nov 2018
Strong mixed-integer programming formulations for trained neural networks Ross Anderson Joey Huchette Christian Tjandraatmadja J. Vielma 187 259 0 20 Nov 2018
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning L. Nguyen Zhou Yang Jiazhen Zhu Jia Ming Li Fang Jin 44 23 0 12 Nov 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun Basel Alomair OffRL 126 239 0 29 Oct 2018
Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning Yuankai Wu Huachun Tan B. Ran AI4CE 43 17 0 25 Oct 2018
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning Vahid Behzadan Arslan Munir 88 27 0 23 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 119 569 0 12 Oct 2018
A Distributed Reinforcement Learning Solution With Knowledge Transfer Capability for A Bike Rebalancing Problem Ian Xiao 55 7 0 09 Oct 2018
The Dreaming Variational Autoencoder for Reinforcement Learning Environments Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo DRL 41 17 0 02 Oct 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 57 37 0 10 Sep 2018
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations Michael Schaarschmidt A. Kuhnle Ben Ellis Kai Fricke Felix Gessert Eiko Yoneki OffRL 55 41 0 23 Aug 2018
Video-to-Video Synthesis Ting-Chun Wang Ming-Yuan Liu Jun-Yan Zhu Guilin Liu Andrew Tao Jan Kautz Bryan Catanzaro GAN VGen 152 993 0 20 Aug 2018
Neural Networks Regularization Through Representation Learning Soufiane Belharbi OOD SSL 37 2 0 13 Jul 2018
Task-Relevant Object Discovery and Categorization for Playing First-person Shooter Games Junchi Liang Abdeslam Boularias 44 2 0 17 Jun 2018
Learning an Approximate Model Predictive Controller with Guarantees Michael Hertneck Johannes Köhler Sebastian Trimpe Frank Allgöwer 88 228 0 11 Jun 2018
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles Vahid Behzadan Arslan Munir AAML 58 53 0 04 Jun 2018
Revisiting Small Batch Training for Deep Neural Networks Dominic Masters Carlo Luschi ODL 83 671 0 20 Apr 2018
An Adaptive Clipping Approach for Proximal Policy Optimization Gang Chen Yiming Peng Mengjie Zhang 57 22 0 17 Apr 2018
Correlated discrete data generation using adversarial training Shreyas Patel A. Kakadiya Maitrey Mehta Raj Derasari Rahul Patel Ratnik Gandhi GAN 75 19 0 03 Apr 2018
World Models David R Ha Jürgen Schmidhuber SyDa 202 1,102 0 27 Mar 2018
Artificial Intelligence Enabled Software Defined Networking: A Comprehensive Overview Majd Latah Levent Toker AI4CE 61 101 0 19 Mar 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 128 73 0 13 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 134 1,320 0 12 Mar 2018
Deep Reinforcement Learning for Join Order Enumeration Ryan Marcus Olga Papaemmanouil 97 235 0 28 Feb 2018
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation Miles Brundage S. Avin Jack Clark H. Toner P. Eckersley ... Owain Evans Michael Page Joanna J. Bryson Roman V. Yampolskiy Dario Amodei 93 710 0 20 Feb 2018
Machine Learning Methods for Data Association in Multi-Object Tracking Patrick Emami P. Pardalos L. Elefteriadou Sanjay Ranka VOT 111 40 0 19 Feb 2018
Efficient Collaborative Multi-Agent Deep Reinforcement Learning for Large-Scale Fleet Management Kaixiang Lin Renyu Zhao Zhe Xu Jiayu Zhou 52 8 0 18 Feb 2018
The Case for Automatic Database Administration using Deep Reinforcement Learning A. Sharma F. Schuhknecht J. Dittrich 38 62 0 17 Jan 2018
Faster Deep Q-learning using Neural Episodic Control Daichi Nishio S. Yamane OffRL 82 10 0 06 Jan 2018