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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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Learning to Select Cuts for Efficient Mixed-Integer Programming Zeren Huang Kerong Wang Furui Liu Hui-Ling Zhen Weinan Zhang Mingxuan Yuan Jianye Hao Yong Yu Jun Wang 109 71 0 28 May 2021
Interpretable UAV Collision Avoidance using Deep Reinforcement Learning Deep Thomas Daniil Olshanskyi Karter Krueger Tichakorn Wongpiromsarn Ali Jannesari 88 5 0 25 May 2021
Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning M. Tashman John Hoffman Jiayi Xie Feng Ye Atefeh Morsali Lee Winikor Rouzbeh Gerami OffRL 51 0 0 21 May 2021
Certification of Iterative Predictions in Bayesian Neural Networks Matthew Wicker Luca Laurenti A. Patané Nicola Paoletti Alessandro Abate Marta Z. Kwiatkowska 140 11 0 21 May 2021
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning Mohammad Akbari Mohammad Reza Abedi Roghayeh Joda Mohsen Pourghasemian Nader Mokari Melike Erol-Kantarci 66 54 0 10 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 98 94 0 04 May 2021
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference Xiaocong Chen Lina Yao Xianzhi Wang Aixin Sun Wenjie Zhang Quan Z. Sheng 50 8 0 03 May 2021
Hypernetwork Dismantling via Deep Reinforcement Learning Dengcheng Yan Wenxin Xie Yiwen Zhang Qiang He Yun Yang 53 17 0 29 Apr 2021
A Deep Reinforcement Learning Approach for the Meal Delivery Problem H. Jahanshahi Aysun Bozanta Mucahit Cevik E. M. Kavuk Ayse Tosun Misirli Sibel B. Sonuc Bilgin Kosucu Ayse Basar 67 28 0 24 Apr 2021
Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction Helge Spieker 30 3 0 24 Apr 2021
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees Aaron M. Roth Jing Liang Tianyi Zhou 87 8 0 22 Apr 2021
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication Xing Xu Rongpeng Li Zhifeng Zhao Honggang Zhang 84 12 0 24 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 82 344 0 19 Mar 2021
Deep Learning for Android Malware Defenses: a Systematic Literature Review Yue Liu Chakkrit Tantithamthavorn Li Li Yepang Liu AAML 88 81 0 09 Mar 2021
Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: simulations and experiments B. Svetozarevic C. Baumann S. Muntwiler L. Di Natale Melanie Zeilinger Philipp Heer AI4CE 47 37 0 02 Mar 2021
Decision Making in Monopoly using a Hybrid Deep Reinforcement Learning Approach Trevor Bonjour Marina Haliem A. Alsalem Shilpa Thomas Hongyu Li Vaneet Aggarwal Mayank Kejriwal Bharat K. Bhargava 97 15 0 01 Mar 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments Yichen Yang J. Inala Osbert Bastani Yewen Pu Armando Solar-Lezama Martin Rinard 128 12 0 22 Feb 2021
How To Train Your HERON Antoine Richard Stéphanie Aravecchia Thomas Schillaci Matthieu Geist C´edric Pradalier 33 3 0 20 Feb 2021
Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models Andreas Schuderer Stefano Bromuri M. V. Eekelen AI4CE 34 2 0 19 Feb 2021
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning Félix Chalumeau Ilan Coulon Quentin Cappart Louis-Martin Rousseau 92 21 0 18 Feb 2021
BF++: a language for general-purpose program synthesis Vadim Liventsev Aki Härmä M. Petković 168 3 0 23 Jan 2021
Shielding Atari Games with Bounded Prescience Mirco Giacobbe Mohammadhosein Hasanbeig Daniel Kroening H. Wijk 70 23 0 20 Jan 2021
Deep Reinforcement Learning for Active High Frequency Trading Antonio Briola J. Turiel Riccardo Marcaccioli Alvaro Cauderan T. Aste AIFin AI4TS 89 36 0 18 Jan 2021
Optimal Energy Shaping via Neural Approximators Stefano Massaroli Michael Poli Federico Califano Jinkyoo Park Atsushi Yamashita Hajime Asama 46 13 0 14 Jan 2021
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems Junya Ikemoto T. Ushio OffRL 46 5 0 13 Jan 2021
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach H. Ou Haipeng Chen S. Jabbari Milind Tambe OffRL 43 6 0 07 Jan 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning Zeyu Zhu Huijing Zhao 147 159 0 06 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Min Zhang OffRL 123 75 0 01 Jan 2021
Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective Shen Chen Mingwei Zhang Jiamin Cui Wei Yao CVBM 49 0 0 31 Dec 2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 83 4 0 24 Dec 2020
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks Abhishek Singh Ayush Chopra Vivek Sharma Ethan Garza Emily Zhang Praneeth Vepakomma Ramesh Raskar 52 46 0 20 Dec 2020
Hierarchical principles of embodied reinforcement learning: A review Manfred Eppe Christian Gumbsch Matthias Kerzel Phuong D. H. Nguyen Martin Volker Butz S. Wermter 101 10 0 18 Dec 2020
Transfer Learning as an Enabler of the Intelligent Digital Twin Benjamin Maschler Dominik I. Braun N. Jazdi M. Weyrich AI4CE 59 40 0 03 Dec 2020
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning? Matthias Rosynski Frank Kirchner Matias Valdenegro-Toro FAtt 52 13 0 02 Dec 2020
Episodic Self-Imitation Learning with Hindsight Tianhong Dai Hengyan Liu Anil Anthony Bharath 30 11 0 26 Nov 2020
Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations Haojie Pan Cen Chen Chengyu Wang Minghui Qiu Liu Yang Feng Ji Jun Huang 40 4 0 25 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things Jing Zhang Dacheng Tao 105 477 0 17 Nov 2020
Deep Learning -- A first Meta-Survey of selected Reviews across Scientific Disciplines, their Commonalities, Challenges and Research Impact Jan Egger Antonio Pepe Christina Schwarz-Gsaxner Yuan Jin Jianning Li Roman Kern OOD VLM AI4CE 53 30 0 16 Nov 2020
Deep reinforcement learning for RAN optimization and control Yu Chen Jie Chen G. Krishnamurthi Huijing Yang Huahui Wang Wenjie Zhao 39 1 0 09 Nov 2020
Specialization in Hierarchical Learning Systems Heinke Hihn Daniel A. Braun 83 16 0 03 Nov 2020
Personalised Meta-path Generation for Heterogeneous GNNs Zhiqiang Zhong Cheng-Te Li Jun Pang 58 5 0 26 Oct 2020
Deep Neural Mobile Networking Chaoyun Zhang 76 1 0 23 Oct 2020
Variable impedance control and learning -- A review Fares J. Abu-Dakka Matteo Saveriano AI4CE 93 153 0 13 Oct 2020
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis Teng Wang Xuefeng Zhang Xuefeng Zhang Xinyu Yang 113 88 0 11 Oct 2020
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing Ping Lang Xiongjun Fu M. Martorella Jian Dong Rui Qin Xianpeng Meng M. Xie 41 43 0 29 Sep 2020
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward U. Yavas T. Kumbasar N. K. Üre 64 19 0 24 Sep 2020
ReLeaSER: A Reinforcement Learning Strategy for Optimizing Utilization Of Ephemeral Cloud Resources Mohamed Handaoui Jean-Emile Dartois Jalil Boukhobza Olivier Barais Laurent dÓrazio 11 3 0 23 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 197 80 0 17 Sep 2020
Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks Yasar Sinan Nasir Dongning Guo 38 23 0 14 Sep 2020
Deep Active Inference for Partially Observable MDPs Otto van der Himst Pablo Lanillos BDL OffRL AI4CE 50 26 0 08 Sep 2020