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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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 27 5 0 25 Oct 2021
Independent Natural Policy Gradient Always Converges in Markov Potential Games Roy Fox Stephen Marcus McAleer W. Overman Ioannis Panageas 34 49 0 20 Oct 2021
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Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes Satpreet H. Singh F. V. Breugel Rajesh P. N. Rao Bingni W. Brunton 33 4 0 25 Sep 2021
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OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework Dengsheng Chen Vince Tan Zhi-Wei Lu Jie Hu FedML 27 27 0 16 Sep 2021
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Self-optimizing adaptive optics control with Reinforcement Learning for high-contrast imaging Rico Landman S. Haffert V. M. Radhakrishnan C. Keller 25 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 19 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 23 11 0 17 Aug 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 34 603 0 13 Aug 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 22 3 0 10 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad Mohsen Guizani OffRL AI4TS 20 21 0 05 Aug 2021
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Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach B. Varga Balázs Kulcsár M. Chehreghani 32 1 0 19 Jul 2021
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Learning Knowledge Graph-based World Models of Textual Environments Prithviraj Ammanabrolu Mark O. Riedl 3DV 26 31 0 17 Jun 2021
Modeling Worlds in Text Prithviraj Ammanabrolu Mark O. Riedl VGen LM&Ro 19 14 0 17 Jun 2021
Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number Francesco Borra Luca Biferale M. Cencini A. Celani 21 21 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 37 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 26 49 0 29 May 2021
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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 29 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 41 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 34 53 0 10 May 2021
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Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference Xiaocong Chen Lina Yao Xianzhi Wang Aixin Sun Wenjie Zhang Quan Z. Sheng 19 8 0 03 May 2021
Hypernetwork Dismantling via Deep Reinforcement Learning Dengcheng Yan Wenxin Xie Yiwen Zhang Qiang He Yun Yang 14 15 0 29 Apr 2021
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Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction Helge Spieker 18 3 0 24 Apr 2021