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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Thompson Sampling via Local Uncertainty Zhendong Wang Mingyuan Zhou 16 19 0 30 Oct 2019
Pre-training in Deep Reinforcement Learning for Automatic Speech Recognition Thejan Rajapakshe R. Rana S. Latif Sara Khalifa Björn W. Schuller VLM OffRL 17 8 0 24 Oct 2019
Autonomous Industrial Management via Reinforcement Learning: Self-Learning Agents for Decision-Making -- A Review L. E. Leal Magnus Westerlund A. Chapman 11 0 0 20 Oct 2019
Parallel Exploration via Negatively Correlated Search Peng Yang Qi Yang K. Tang Xin Yao 24 13 0 16 Oct 2019
QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning Nof Abuzainab T. Erpek Kemal Davaslioglu Y. Sagduyu Yi Shi ... Mitesh P. Patel Frank Panettieri M. A. Qureshi Volkan Isler Aylin Yener 11 29 0 13 Oct 2019
Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge Zhiyong Du Yansha Deng Weisi Guo A. Nallanathan Qi-hui Wu 16 29 0 11 Oct 2019
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning Noémie Jaquier Leonel Rozo Sylvain Calinon Mathias Bürger 9 53 0 11 Oct 2019
RLCache: Automated Cache Management Using Reinforcement Learning Sami Alabed 20 4 0 30 Sep 2019
Decision Set Optimization and Energy-Efficient MIMO Communications Hang Zou Chao Zhang S. Lasaulce L. Saludjian P. Panciatici 14 2 0 16 Sep 2019
Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes with Multiple Access Locations Venktesh Pandey Evana Wang S. Boyles 11 39 0 10 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 18 36 0 06 Sep 2019
Reinforcing Medical Image Classifier to Improve Generalization on Small Datasets Walid Abdullah Al I. Yun 14 3 0 02 Sep 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Jianwei Yin Schahram Dustdar Albert Y. Zomaya 74 605 0 02 Sep 2019
DeepHealth: Review and challenges of artificial intelligence in health informatics Gloria Hyunjung Kwak Pan Hui SyDa 27 26 0 01 Sep 2019
The many faces of deep learning Raul Vicente FedML AI4CE 11 0 0 25 Aug 2019
Deep reinforcement learning in World-Earth system models to discover sustainable management strategies Felix M. Strnad W. Barfuss J. Donges J. Heitzig 30 25 0 15 Aug 2019
Superstition in the Network: Deep Reinforcement Learning Plays Deceptive Games Philip Bontrager Ahmed Khalifa Damien Anderson Matthew Stephenson Christoph Salge Julian Togelius 13 9 0 12 Aug 2019
Learning to Grasp from 2.5D images: a Deep Reinforcement Learning Approach Alessia Bertugli P. Galeone 11 1 0 08 Aug 2019
Free-Lunch Saliency via Attention in Atari Agents Dmitry Nikulin A. Ianina Vladimir Aliev Sergey I. Nikolenko FAtt 20 24 0 07 Aug 2019
Action Guidance with MCTS for Deep Reinforcement Learning Bilal Kartal Pablo Hernandez-Leal Matthew E. Taylor 23 18 0 25 Jul 2019
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning Bilal Kartal Pablo Hernandez-Leal Matthew E. Taylor 33 28 0 24 Jul 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 21 202 0 22 Jul 2019
Convolutional Reservoir Computing for World Models Hanten Chang K. Futagami 32 4 0 18 Jul 2019
Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning Luca Biferale F. Bonaccorso M. Buzzicotti P. C. D. Leoni K. Gustavsson 17 93 0 17 Jul 2019
Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics Nicholas Collins H. Kurniawati 14 0 0 09 Jul 2019
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks Le Liang Hao Ye Guanding Yu Geoffrey Ye Li 30 194 0 07 Jul 2019
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets Xiaofeng Liu B. Kumar Chao Yang Qingming Tang J. You CVBM 23 42 0 05 Jul 2019
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy Aaron M. Roth Nicholay Topin Pooyan Jamshidi Manuela Veloso OffRL 32 47 0 02 Jul 2019
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art Viet Quoc Pham Fang Fang H. Vu Md. Jalil Piran Mai Le L. Le W. Hwang Z. Ding 23 596 0 20 Jun 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 10 313 0 13 Jun 2019
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives Alexander Fabisch Christoph Petzoldt M. Otto Frank Kirchner AI4CE 15 13 0 05 Jun 2019
Transcribing Content from Structural Images with Spotlight Mechanism Yu Yin Zhenya Huang Enhong Chen Qi Liu Fuzheng Zhang Xing Xie Guoping Hu 13 22 0 27 May 2019
Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation Zhihong Chen Chao Chen Zhaowei Cheng Boyuan Jiang Ke Fang Xinyu Jin 11 67 0 26 May 2019
Continual Reinforcement Learning in 3D Non-stationary Environments Vincenzo Lomonaco Karan Desai Eugenio Culurciello Davide Maltoni OffRL 15 41 0 24 May 2019
Exploiting Cognitive Structure for Adaptive Learning Qi Liu Shiwei Tong Chuanren Liu Hongke Zhao Enhong Chen Haiping Ma Shijin Wang 17 118 0 23 May 2019
Control Regularization for Reduced Variance Reinforcement Learning Richard Cheng Abhinav Verma G. Orosz Swarat Chaudhuri Yisong Yue J. W. Burdick OffRL 12 76 0 14 May 2019
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations Aditya Modi Debadeepta Dey Alekh Agarwal Adith Swaminathan Besmira Nushi Sean Andrist Eric Horvitz OffRL LRM 16 1 0 12 May 2019
Toward Packet Routing with Fully-distributed Multi-agent Deep Reinforcement Learning Xinyu You Xuanjie Li Yuedong Xu Hui Feng Jin Zhao Huaicheng Yan 14 22 0 09 May 2019
Learning Programmatically Structured Representations with Perceptor Gradients Svetlin Penkov S. Ramamoorthy 14 9 0 02 May 2019
Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning Kacper Kielak GAN 14 0 0 30 Apr 2019
Machine Learning Tips and Tricks for Power Line Communications Andrea M. Tonello N. A. Letizia Davide Righini Francesco Marcuzzi 16 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 17 7 0 10 Apr 2019
Reducing catastrophic forgetting when evolving neural networks Joseph Early 19 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 18 84 0 04 Apr 2019
Exposing GAN-synthesized Faces Using Landmark Locations Xin Yang Yuezun Li H. Qi Siwei Lyu GAN CVBM 24 107 0 30 Mar 2019
Autonomous Highway Driving using Deep Reinforcement Learning S. Nageshrao H. E. Tseng Dimitar Filev 11 104 0 29 Mar 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools R. Mayer Hans-Arno Jacobsen GNN 27 186 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 6 34 0 14 Mar 2019
Machine Learning in IoT Security: Current Solutions and Future Challenges Fatima Hussain Rasheed Hussain Syed Ali Hassan Ekram Hossain 32 517 0 14 Mar 2019
A Review of Reinforcement Learning for Autonomous Building Energy Management Karl Mason S. Grijalva AI4CE 11 220 0 12 Mar 2019