A Brief Survey of Deep Reinforcement Learning

19 August 2017

Anil Anthony Bharath

Papers citing "A Brief Survey of Deep Reinforcement Learning"

50 / 596 papers shown

Title
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control Jinqiu Guo 21 1 0 02 Jul 2020
Falsification-Based Robust Adversarial Reinforcement Learning Xiao Wang Saasha Nair Matthias Althoff AAML 13 19 0 01 Jul 2020
Reinforcement Learning Based Handwritten Digit Recognition with Two-State Q-Learning A. M. Hafiz G. M. Bhat OffRL 11 5 0 28 Jun 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 33 9 0 26 Jun 2020
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation L. Guan Mudit Verma Sihang Guo Ruohan Zhang Subbarao Kambhampati 43 42 0 26 Jun 2020
The NetHack Learning Environment Heinrich Küttler Nantas Nardelli Alexander H. Miller Roberta Raileanu Marco Selvatici Edward Grefenstette Tim Rocktaschel 22 177 0 24 Jun 2020
Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments C. Thornton Mark A. Kozy R. M. Buehrer A. Martone K. Sherbondy 19 82 0 23 Jun 2020
Zeroth-order Deterministic Policy Gradient Harshat Kumar Dionysios S. Kalogerias George J. Pappas Alejandro Ribeiro OffRL 17 14 0 12 Jun 2020
Balancing a CartPole System with Reinforcement Learning -- A Tutorial S. Kumar 11 23 0 08 Jun 2020
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities Shuhan Yuan Xintao Wu AAML 20 156 0 25 May 2020
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking N. Vesselinova Rebecca Steinert Daniel F. Perez-Ramirez Magnus Boman GNN AI4CE 20 141 0 22 May 2020
Differential Mapping Spiking Neural Network for Sensor-Based Robot Control Omar Zahra Silvia Tolu D. Navarro-Alarcon 28 16 0 20 May 2020
Safe Learning for Near Optimal Scheduling G. Geeraerts Debraj Chakraborty Shibashis Guha Guillermo A. Pérez Jean-François Raskin 6 3 0 19 May 2020
Attacking Black-box Recommendations via Copying Cross-domain User Profiles Wenqi Fan Tyler Derr Xiangyu Zhao Yao Ma Hui Liu Jianping Wang Jiliang Tang Qing Li MLAU AAML 14 76 0 17 May 2020
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems Alexis Asseman Nicolas Antoine A. Ozcan 24 4 0 10 May 2020
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients Mingyu Lu Zachary Shahn Daby M. Sow Finale Doshi-Velez Li-wei H. Lehman OOD OffRL 14 3 0 08 May 2020
Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model Checking Lenz Belzner M. Wirsing 6 4 0 08 May 2020
Flexible and Efficient Long-Range Planning Through Curious Exploration Aidan Curtis Minjian Xin Dilip Arumugam Kevin T. Feigelis Daniel L. K. Yamins 15 6 0 22 Apr 2020
Solving the scalarization issues of Advantage-based Reinforcement Learning Algorithms Federico A. Galatolo M. G. Cimino G. Vaglini 11 3 0 08 Apr 2020
An Application of Deep Reinforcement Learning to Algorithmic Trading Thibaut Théate D. Ernst AIFin 19 162 0 07 Apr 2020
Reinforcement Learning Architectures: SAC, TAC, and ESAC Ala’eddin Masadeh Zhengdao Wang A. Kamal 9 0 0 05 Apr 2020
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics Amir H. Mosavi Pedram Ghamisi Yaser Faghan Puhong Duan OffRL 11 152 0 21 Mar 2020
Machine Learning for Intelligent Optical Networks: A Comprehensive Survey Rentao Gu Zeyuan Yang Yuefeng Ji 19 109 0 11 Mar 2020
Learning to be Global Optimizer Haotian Zhang Jianyong Sun Zongben Xu 6 3 0 10 Mar 2020
Learning a generative model for robot control using visual feedback Nishad Gothoskar Miguel Lazaro-Gredilla A. Agarwal Yasemin Bekiroglu Dileep George GAN 6 8 0 10 Mar 2020
On Hyper-parameter Tuning for Stochastic Optimization Algorithms Haotian Zhang Jianyong Sun Zongben Xu 6 0 0 04 Mar 2020
Learn Task First or Learn Human Partner First: A Hierarchical Task Decomposition Method for Human-Robot Cooperation Lingfeng Tao Michael Bowman Jiucai Zhang Xiaoli Zhang 11 0 0 01 Mar 2020
Deep Learning in Mining Biological Data M. S. M. Mahmud M. S. Kaiser Amir Hussain AI4CE 28 286 0 28 Feb 2020
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization Aritz D. Martinez E. Osaba Javier Del Ser Francisco Herrera 17 10 0 25 Feb 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration Guy Van den Broeck Yitao Liang Mathias Niepert OffRL 14 3 0 25 Feb 2020
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI S. Risi Mike Preuss 27 56 0 24 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 20 326 0 22 Feb 2020
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach Kecheng Zhang Meng Li Zhengchao Zhang Xi Lin Fang He 104 139 0 13 Feb 2020
Multi Type Mean Field Reinforcement Learning Sriram Ganapathi Subramanian Pascal Poupart Matthew E. Taylor N. Hegde AI4CE 10 53 0 06 Feb 2020
Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles Simen Theie Havenstrom Camilla Sterud Adil Rasheed Omer San 16 3 0 03 Feb 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 59 132 0 27 Jan 2020
Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles Dohyun Kwon Joongheon Kim 15 13 0 08 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 32 81 0 02 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 Dec 2019
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 36 506 0 23 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Tianhong Dai Kai Arulkumaran Tamara Gerbert Samyakh Tukra Feryal M. P. Behbahani Anil Anthony Bharath 14 27 0 18 Dec 2019
Transformer Based Reinforcement Learning For Games Uddeshya Upadhyay Nikunj Shah Sucheta Ravikanti Mayanka Medhe OffRL 19 10 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 17 5 0 09 Dec 2019
Reinforcement Learning with Convolutional Reservoir Computing Hanten Chang K. Futagami 32 22 0 05 Dec 2019
Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration Xing Xu Rongpeng Li Zhifeng Zhao Honggang Zhang 33 24 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 9 43 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 14 2 0 21 Nov 2019
Asymptotics of Reinforcement Learning with Neural Networks Justin A. Sirignano K. Spiliopoulos MLT 25 14 0 13 Nov 2019
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine Weisi Guo 30 40 0 11 Nov 2019
Hierarchical Expert Networks for Meta-Learning Heinke Hihn Daniel A. Braun 25 4 0 31 Oct 2019