v1v2 (latest)

A Brief Survey of Deep Reinforcement Learning

19 August 2017

Anil Anthony Bharath

Papers citing "A Brief Survey of Deep Reinforcement Learning"

50 / 604 papers shown

Title
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Tianhong Dai Kai Arulkumaran Tamara Gerbert Samyakh Tukra Feryal M. P. Behbahani Anil Anthony Bharath 87 28 0 18 Dec 2019
Transformer Based Reinforcement Learning For Games Uddeshya Upadhyay Nikunj Shah Sucheta Ravikanti Mayanka Medhe OffRL 52 11 0 09 Dec 2019
Intelligent Coordination among Multiple Traffic Intersections Using Multi-Agent Reinforcement Learning Ujwal Padam Tewari Vishal Bidawatka Varsha Raveendran Vinay Sudhakaran Shreedhar Kodate Shreeshail Jayanth Prakash Kulkarni 32 5 0 09 Dec 2019
Reinforcement Learning with Convolutional Reservoir Computing Hanten Chang K. Futagami 51 22 0 05 Dec 2019
Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration Xing Xu Rongpeng Li Zhifeng Zhao Honggang Zhang 70 26 0 28 Nov 2019
Adaptive Modulation and Coding based on Reinforcement Learning for 5G Networks Mateus P. Mota D. C. Araújo F. H. C. Neto A. D. Almeida F. Cavalcanti 21 44 0 25 Nov 2019
Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control Marta Sarrico Kai Arulkumaran A. Agostinelli Pierre Harvey Richemond Anil Anthony Bharath 24 2 0 21 Nov 2019
Asymptotics of Reinforcement Learning with Neural Networks Justin A. Sirignano K. Spiliopoulos MLT 98 14 0 13 Nov 2019
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine Weisi Guo 69 40 0 11 Nov 2019
Hierarchical Expert Networks for Meta-Learning Heinke Hihn Daniel A. Braun 102 4 0 31 Oct 2019
Thompson Sampling via Local Uncertainty Zhendong Wang Mingyuan Zhou 80 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 63 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 22 0 0 20 Oct 2019
Parallel Exploration via Negatively Correlated Search Peng Yang Qi Yang K. Tang Xin Yao 125 14 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 66 30 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 47 30 0 11 Oct 2019
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning Noémie Jaquier Leonel Rozo Sylvain Calinon Mathias Bürger 78 54 0 11 Oct 2019
RLCache: Automated Cache Management Using Reinforcement Learning Sami Alabed 43 4 0 30 Sep 2019
Decision Set Optimization and Energy-Efficient MIMO Communications Hang Zou Chao Zhang S. Lasaulce L. Saludjian P. Panciatici 18 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 45 40 0 10 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 128 36 0 06 Sep 2019
Reinforcing Medical Image Classifier to Improve Generalization on Small Datasets Walid Abdullah Al I. Yun 25 3 0 02 Sep 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Yuxiang Cai Schahram Dustdar Albert Y. Zomaya 108 619 0 02 Sep 2019
DeepHealth: Review and challenges of artificial intelligence in health informatics Gloria Hyunjung Kwak Pan Hui SyDa 56 26 0 01 Sep 2019
The many faces of deep learning Raul Vicente FedML AI4CE 50 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 55 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 54 10 0 12 Aug 2019
Learning to Grasp from 2.5D images: a Deep Reinforcement Learning Approach Alessia Bertugli P. Galeone 18 1 0 08 Aug 2019
Free-Lunch Saliency via Attention in Atari Agents Dmitry Nikulin A. Ianina Vladimir Aliev Sergey I. Nikolenko FAtt 73 24 0 07 Aug 2019
Action Guidance with MCTS for Deep Reinforcement Learning Bilal Kartal Pablo Hernandez-Leal Matthew E. Taylor 56 18 0 25 Jul 2019
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning Bilal Kartal Pablo Hernandez-Leal Matthew E. Taylor 170 29 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 89 205 0 22 Jul 2019
Convolutional Reservoir Computing for World Models Hanten Chang K. Futagami 50 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 80 96 0 17 Jul 2019
Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics Nicholas Collins H. Kurniawati 29 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 71 200 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 95 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 90 48 0 02 Jul 2019
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art Quoc-Viet Pham Fang Fang H. Vu Md. Jalil Piran Mai Le L. Le Won Joo Hwang Z. Ding 85 607 0 20 Jun 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 115 336 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 54 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 48 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 88 67 0 26 May 2019
Continual Reinforcement Learning in 3D Non-stationary Environments Vincenzo Lomonaco Karan Desai Eugenio Culurciello Davide Maltoni OffRL 49 42 0 24 May 2019
Exploiting Cognitive Structure for Adaptive Learning Qi Liu Shiwei Tong Chuanren Liu Hongke Zhao Enhong Chen Haiping Ma Shijin Wang 64 126 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 88 80 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 26 2 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 33 22 0 09 May 2019
Learning Programmatically Structured Representations with Perceptor Gradients Svetlin Penkov S. Ramamoorthy 58 10 0 02 May 2019
Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning Kacper Kielak GAN 23 0 0 30 Apr 2019