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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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Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents Jasmina Gajcin Rahul Nair Tejaswini Pedapati Radu Marinescu Elizabeth M. Daly Ivana Dusparic OffRL 48 11 0 17 Dec 2021
Attention-Based Model and Deep Reinforcement Learning for Distribution of Event Processing Tasks A. Mazayev F. Al-Tam N. Correia 77 5 0 07 Dec 2021
Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning Yiyu Guo Fang Fang Donghong Cai Z. Ding 30 40 0 30 Nov 2021
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Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities Yassine Himeur A. Sayed A. Alsalemi F. Bensaali Abbes Amira Iraklis Varlamis Magdalini Eirinaki Christos Sardianos G. Dimitrakopoulos 73 86 0 22 Nov 2021
Low Precision Decentralized Distributed Training over IID and non-IID Data Sai Aparna Aketi Sangamesh Kodge Kaushik Roy MQ 26 9 0 17 Nov 2021
AI in Human-computer Gaming: Techniques, Challenges and Opportunities Qiyue Yin Jun Yang Kaiqi Huang Meijing Zhao Wancheng Ni Bin Liang Yan Huang Shu Wu Liangsheng Wang 61 21 0 15 Nov 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 70 38 0 12 Nov 2021
Which Model to Trust: Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms for Continuous Control Tasks Giacomo Arcieri David Wölfle Eleni Chatzi OffRL 104 5 0 25 Oct 2021
Independent Natural Policy Gradient Always Converges in Markov Potential Games Roy Fox Stephen Marcus McAleer W. Overman Ioannis Panageas 90 49 0 20 Oct 2021
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Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 135 60 0 28 Sep 2021
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ACReL: Adversarial Conditional value-at-risk Reinforcement Learning Mathieu Godbout M. Heuillet Sharath Chandra R. Bhati Audrey Durand 64 1 0 20 Sep 2021
OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework Dengsheng Chen Vince Tan Zhi-Wei Lu Jie Hu FedML 64 32 0 16 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 86 103 0 14 Sep 2021
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach Qinbo Bai Amrit Singh Bedi Mridul Agarwal Alec Koppel Vaneet Aggarwal 189 60 0 13 Sep 2021
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions Xiaocong Chen L. Yao Julian McAuley Guanglin Zhou Xianzhi Wang AI4TS 79 62 0 08 Sep 2021
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures Changyin Sun Zicheng He Chunwei Song Changyin Sun 108 59 0 31 Aug 2021
Communication-Computation Efficient Device-Edge Co-Inference via AutoML Xinjie Zhang Jiawei Shao Yuyi Mao Jun Zhang 66 8 0 30 Aug 2021
Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems Raphael Lamprecht Ferdinand Wurst Marco F. Huber 42 3 0 27 Aug 2021
Self-optimizing adaptive optics control with Reinforcement Learning for high-contrast imaging Rico Landman S. Haffert V. M. Radhakrishnan C. Keller 54 28 0 24 Aug 2021
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Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task Angel Ayala Francisco Cruz Bruno José Torres Fernandes Richard Dazeley 47 6 0 18 Aug 2021
Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay Tianhong Dai Hengyan Liu Kai Arulkumaran Guangyu Ren Anil Anthony Bharath 70 11 0 17 Aug 2021
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Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 57 3 0 10 Aug 2021
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A Survey on Human-aware Robot Navigation Ronja Möller Antonino Furnari Sebastiano Battiato Aki Härmä G. Farinella 134 89 0 22 Jun 2021
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Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number Francesco Borra Luca Biferale M. Cencini A. Celani 119 22 0 16 Jun 2021
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning Yonggan Fu Yongan Zhang Chaojian Li Zhongzhi Yu Yingyan Lin 52 6 0 11 Jun 2021
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works A. Shoeibi Parisa Moridian Marjane Khodatars Navid Ghassemi M. Jafari ... Juan M Gorriz Javier Ramírez Abbas Khosravi S. Nahavandi U. Acharya 87 54 0 29 May 2021