An Introduction to Deep Reinforcement Learning

Cited by (515)

Items 401–500 of 515

1. A Meta Learning-Based Approach for Zero-Shot Co-Training
   Guy Zaks, Gilad Katz · 2021 · IEEE Access
2. A Machine Learning Approach to Flight Control of a VTOL Tailsitter UAV
   Sandro Domitran, Marina Bagić Babac · 2021 · International Convention on Information and Communication Technology, Electronics and Microelectronics
3. Anti Intelligent Mine Unmanned Ground Vehicle Based on Reinforcement Learning
   Xiaoyao Tong, Yuxi Ma, Yuan Xue, Quanxin Zhang, Yuanzhang Li, Yu‐an Tan · 2021 · Communications in computer and information science
4. Application of Actor-Critic Deep Reinforcement Learning Method for Obstacle Avoidance of WMR
   Xiaoshan Gao, Liang Yan, Gang Wang, He Zhuang, Chris Gerada, Suokui Chang · 2021 · Lecture notes in electrical engineering
5. A Resilient and Robust Edge-Cloud Network System Supporting CPS
   Tanmoy Sen, Haiying Shen, Walid Saad, Thinh T. Doan · 2021 · IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS)
6. Task Distribution and Human Resource Management Using Reinforcement Learning
   Ciprian Păduraru, Miruna Gabriela Paduraru, Catalina Patilea · 2021 · IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)
7. Mutual Deep Deterministic Policy Gradient Learning
   Zhou Sun · 2022 · International Conference on Big Data, Information and Computer Network (BDICN)
8. Evaluation of Deep Reinforcement Learning Based Stock Trading
   Yining Zhang, Zherui Zhang, Hongfei Yan · 2023 · Lecture notes in computer science
9. Intelligent flying-beamformer for hybrid mmWave systems: A deep reinforcement learning approach
   Yang Wang, Yawen Chen, Zhaoming Lu, Xiangming Wen · 2023 · Computer Networks
10. Event-Aware Adaptive Clustering Uplift Network for Insurance Creative Ranking
    Wanjie Tao, Huihui Liu, Xuqi Li, Qun Dai, Hong Wen, Zulong Chen · 2023 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
11. Soft Actor Critic Swing Up of a Real Inverted Pendulum on a Cart
    Raniero Humberto Calderon · 2023 · ICMAME Conference (ICMAME)
12. Delay Optimization of IoT-Edge Computing in Smart Grid Using Deep Reinforcement Learning
    Muhammad Akmal bin Jafri, Fauzun Abdullah Asuhaimi, Ahmad Fikri Dahlan, Mohd Khairil Mohd Hatta · 2023 · IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
13. Learning Strategies of Inductive Logic Programming Using Reinforcement Learning
    T Isobe, Katsumi Inoue · 2023 · Lecture notes in computer science
14. Artificial Intelligence-Based Secure Edge Computing Systems for IoTDs and Smart Cities: A Survey
    Muhammad Asim, Chen Junhong, Liu Wenyin, Ahmed A. Abd El‐Latif · 2023 · EAI/Springer Innovations in Communication and Computing
15. Knowledge Empowered Deep Reinforcement Learning to Prioritize Alerts Generated by Intrusion Detection Systems
    Lalitha Chavali, Paresh Saxena, Barsha Mitra · 2024 · Lecture notes on data engineering and communications technologies
16. A survey on machine learning algorithms for analyzing social media
    Ashish Manohar Mahalle, Pawan Bhaladhare · 2025 · AIP conference proceedings
17. Підходи до створення мультиагентних систем і глибокого посиленого навчання
    О.А. Урсатьєв, Oleksandr Ye. Volkov · 2025 · Information Technologies and Systems (Інформаційні технології та системи)
18. Generating an Artificial Nest Building Pufferfish in a Cellular Automaton Through Behavior Decomposition
    Thomas E. Portegys · 2019 · International Journal of Artificial Intelligence and Machine Learning
19. DEEP Reinforcement Learning Based Energy Beamforming for Powering Sensor Networks
    Ayça Özçelikkale, Mehmet Köseoglu, Mani B. Srivastava, Anders Åhlén · 2019 · Machine learning for signal processing ...
20. Balancing Excitation and Inhibition of Spike Neuron Using Deep Q Network (DQN)
    Tan Szi Hui, Mohamad Khairi Ishak, Mohamed Fauzi Packeer Mohamed, Lokman Mohd Fadzil, Ahmad Afif Ahmarofi · 2021 · Journal of Physics Conference Series
21. Dynamic Resources Allocation among Collocated Applications via Reinforcement Learning
    Shaowen Li, Gen Li, Hiroyuki Satō · 2021 · International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)
22. AERO: Towards Energy-Efficient Autonomous Flight in MAVs Using Approximate Execution
    Ben Li, Jingweijia Tan, Kaige Yan · 2021 · IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP)
23. Zeroth Order Policy Search Methods for Global Optimization Problems: An Experimental Study
    Moésio Wenceslau da Silva Filho, Gabriel A. Barbosa, Pericles B. C. de Miranda, André Câmara Alves do Nascimento, Rafael Ferreira Mello · 2021
24. Multi-agent reinforcement learning pipeline for anatomical landmark detection in minipigs
    Michal Brzus, Alexander B. Powers, Kevin Knoernschild, Jessica C. Sieren, Hans J. Johnson · 2022 · SPIE Medical Imaging: Image Processing
25. A Quasi-Greedy Strategy based on Reinforcement Learning in Intelligent Control Technology
    Mingyu Nan, Yifan Zhu, Tao Wang, Yanfeng Wang · 2022 · International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT)
26. Reinforcement Learning Based Architectures for Dynamic Generation of Smart Home Services
    Mingming Qiu, Elie Najm, Rémi Sharrock, Bruno Traverson · 2022 · International Conference on Machine Learning and Applications
27. Evaluating Deep Reinforcement Learning Methods to Develop an Intelligent Traffic Controller
    Rudolph Joshua Candare, Junrie B. Matias · 2022 · International Conference of Computer and Informatics Engineering (IC2IE)
28. Improving generalization to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents
    Olivier Moulin, Francois Vincent-Lavet, Paul Elbers, Mark Hoogendoorn · 2022 · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
29. Evolution of Q Values for Deep Q Learning in Stable Baselines
    Matthew Andrews, Cemil Dibek, Karina Palyutina · 2020 · arXiv (Cornell University)
30. Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control
    Rika Antonova, Maksim Maydanskiy, Danica Kragić, Sam Devlin, Katja Hofmann · 2020 · arXiv (Cornell University)
31. Evaluating the Robustness of Natural Language Reward Shaping Models to Spatial Relations
    Antony Yun · 2020
32. The Intersection of Planning and Learning
    Thomas M. Moerland · 2021 · Research Repository (Delft University of Technology)
33. Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience
    Nicholas Watters, Joshua B. Tenenbaum, Mehrdad Jazayeri · 2021 · arXiv (Cornell University)
34. Developing Robust Digital Twins and Reinforcement Learning for Accelerator Control Systems at the Fermilab Booster
    Diana Kafkes, M. Schram · 2021 · arXiv (Cornell University)
35. A functional mirror ascent view of policy gradient methods with function approximation.
    Sharan Vaswani, Olivier Bachem, Simone Totaro, R. Mueller, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux · 2021 · arXiv (Cornell University)
36. Multi-Agent Path Planning Using Deep Reinforcement Learning
    Mert Çetinkaya · 2021 · arXiv (Cornell University)
37. Machine Learning for EEG Analysis
    Saeid Sanei, Jonathon A. Chambers · 2021 · Wiley eBooks
38. A STUDY ON NEURAL NETWORKS FOR POKER PLAYING AGENTS
    ALEXANDRE MARANGONI COSTA · 2019
39. Admission Control for 5G Network Slicing based on (Deep) Reinforcement Learning
    William Fernando Villota Jácome, Oscar Maurício Caicedo Rendón, Nelson L. S. da Fonseca · 2021
40. Dynamic games for resource allocation in metaverse services and architectures
    Yue Han · 2023
41. Deep Reinforcement Learning Based Interactive Autonomous Monitoring for Fault Detection and Classification in Photovoltaic Arrays
    Sherko Salehpour, Amir Nedaei, Aref Eskandari, Jafar Milimonfared, Mohammadreza Aghaei · 2023 · SSRN Electronic Journal
42. Modular Platooning and Formation Control
    Yanlin Zhou, George Pu, Fan Lü, Xiyao Ma, Xiaolin Li · 2019
43. Enhanced Deep Network Designs Using Mitochondrial DNA Based Genetic Algorithm And Importance Sampling
    Ajay Shrestha · 2019 · University of Bridgeport ScholarWorks (University of Bridgeport)
44. Searching for Microblogs Referring to Events by Deep Dynamic Query Strategies
    Junli Lu, Makoto P. Kato, Takehiro Yamamoto, Katsumi Tanaka · 2020 · Journal of Information Processing
45. Online content clustering using variant K-Means Algorithms
    Tawanda Chowuraya · 2019
46. Traffic control for energy harvesting virtual small cells via reinforcement learning
    Dagnachew Azene Temesgene · 2020
47. Monoceros: A New Approach for Training an Agent to Play FPS Games
    Ruiyang Yang, Hongyin Tang, Beihong Jin · 2020 · International Joint Conference on Neural Networks (IJCNN)
48. Double Replay Buffers with Restricted Gradient
    Linjing Zhang, Zongzhang Zhang · 2020 · Lecture notes in computer science
49. Efficient ESD Generator Modeling Using Reinforcement Learning
    Akhilesh Kumar, En-Cih Yang, Ming-Chih Shih, Ying–Shiun Li, Wen-Tze Chuang, Norman H. Chang · 2020
50. Reinforcement Based Learning on Classification Task Could Yield Better Generalization and Adversarial Accuracy
    Shashi Kant Gupta · 2020 · arXiv (Cornell University)
51. Resource allocation for latency sensitive wireless systems
    Apostolos Avranas · 2020
52. Beyond Prioritized Replay: Sampling States in Model-Based Reinforcement Learning via Simulated Priorities
    Jincheng Mei, Yangchen Pan, Amir‐massoud Farahmand, Hengshuai Yao, Martha White · 2020 · arXiv (Cornell University)
53. DeblurRL: Image Deblurring with Deep Reinforcement Learning
    Jai Singhal, Pratik Narang · 2021 · Communications in computer and information science
54. A modularity comparison of Long Short-Term Memory and Morphognosis neural networks
    Thomas E. Portegys · 2021 · arXiv (Cornell University)
55. Towards a Sample Efficient Reinforcement Learning Pipeline for Vision Based Robotics
    Maxence Mahe, Pierre Belamri, Jesús Bujalance Martín · 2021 · arXiv (Cornell University)
56. Generative replay in deep reinforcement learning
    A.C.P.P. Ludjen · 2021
57. M-DRL: Deep Reinforcement Learning Based Coflow Traffic Scheduler with MLFQ Threshold Adaption
    Tianba Chen, Wei Li, YuKang Sun, Yunchun Li · 2021 · Lecture notes in computer science
58. Towards a Deep Reinforcement Approach for Crowd Flow Management
    Wejden Abdallah, Dalel Kanzari, Kurosh Madani · 2021 · Lecture notes in computer science
59. Active resource partitioning and planning for storage systems using time series forecasting and machine learning techniques
    Maher Kachmar · 2021
60. Learning and Transfer of Movement Gaits Using Reinforcement Learning
    David Waidner, Marcus Strand · 2021 · Lecture notes in networks and systems
61. An Exploration of Deep Learning Methods in Hungry Geese
    Nikzad Khani, Matthew Kluska · 2021 · arXiv (Cornell University)
62. Trust, but Verify: Alleviating Pessimistic Errors in Model-Based Exploration
    Konrad Czechowski, Tomasz Odrzygóźdź, Michał Izworski, Marek Zbysiński, Łukasz Kuciński, Piotr Miłoś · 2021 · International Joint Conference on Neural Networks (IJCNN)
63. On The Transferability of Deep-Q Networks
    Matthia Sabatelli, Pierre Geurts · 2021 · ORBi (University of Liège)
64. Privacy-Cost Management in Smart Meters with Mutual Information-Based Reinforcement Learning
    Mohammadhadi Shateri, Francisco Javier Messina, Pablo Piantanida, Fabrice Labeau · 2020 · arXiv (Cornell University)
65. Parallel Distributed Implementation of Neuroevolution of Augmenting Topologies in Continuous Control Tasks
    I.Z. Achour, А.Yu. Doroshenko · 2021 · IEEE International Conference on Advanced Trends in Information Theory (ATIT)
66. Deep Reinforcement Learning in Human Activity Recognition: A Survey
    Bahareh Nikpour, Dimitrios Sinodinos, Narges Armanfard · 2022
67. Deep Reinforcement Learning in Human Activity Recognition: A Survey
    Bahareh Nikpour, Dimitrios Sinodinos, Narges Armanfard · 2022
68. AI Applications to Power Systems
    Tek Tjing Lie · 2022 · MDPI eBooks
69. Machine Learning for Sensor Networks
    Saeid Sanei, Delaram Jarchi, Anthony George Constantinides · 2020 · Wiley eBooks
70. Cost-Effective Algorithms for Controller Placement Problem in Software-Defined Multihop Wireless Networks
    Afsane Zahmatkesh · 2021
71. Intelligent Data-Driven Energy Flow Controllers for Renewable Energy and Electrified Transportation Systems
    Juan Nunez Forestieri · 2020
72. Distributed Control and Learning of Connected and Autonomous Vehicles Approaching and Departing Signalized Intersections
    Joshua O. Ogbebor · 2021
73. Multi-Modal Instruction based Reinforcement Learning using MoME Transformer
    Avish Kadakia, Sabah Mohammed · 2022
74. Multi-Modal Instruction based Reinforcement Learning using MoME Transformer
    Avish Kadakia, Sabah Mohammed · 2022
75. Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
    Amir Hosein Mosavi, Pedram Ghamisi, Yaser Faghan, Puhong Duan, Sina Ardabili, Ely Salwana, Shahab S. Band · 2020 · OSF Preprints (OSF Preprints)
76. Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
    Amir Hosein Mosavi, Pedram Ghamisi, Yaser Faghan, Puhong Duan, Sina Ardabili, Ely Salwana, Shahab S. Band · 2020
77. Scalable Distributed Target Tracking with Partially Observation and Limited Communication
    Peng Shi, Shaofu Yang · 2022 · Lecture notes in electrical engineering
78. FeReD: Federated Reinforcement Learning in the DBMS
    Sotirios Tzamaras, Radu Ciucanu, Marta Soare, Sihem Amer-Yahia · 2022 · ACM International Conference on Information and Knowledge Management (CIKM)
79. Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning
    Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander K.C. Wong, Doina Precup · 2022 · Research Square
80. Particle Swarm Based Reinforcement Learning
    Jianyu Duan, Yanxiao Guo, Zhigang Wang, Liangjun Ke · 2022 · Communications in computer and information science
81. Real-time planning of Optimal Route for Conflict-Free UAS Operation Using Deep Reinforcement Learning
    Jaejun Jang, Nicholas C. Song, Junki Shim, Gwonyeol Lee, Jae-Young Choi, Rachit Prasad, Seongim Choi · 2023 · AIAA SciTech Forum
82. Performance Analysis of Classification Algorithms
    A. Prakash, Vijender Kumar Solanki · 2023 · Lecture notes in networks and systems
83. Deep Reinforcement Learning for Tenuous Subgraph Finding
    Heli Sun, Miaomiao Sun, Xuechun Liu, Liang He, Yuan Rao, Zhi Wang, Yuan Chen, Hui Juan He · 2023
84. Deep Reinforcement Learning for Tenuous Subgraph Finding
    Heli Sun, Miaomiao Sun, Liu Xue-chun, Yuan Rao, Zhi Wang, Yuan Chen, Yuan Chen · 2023
85. Intelligent job shop scheduling via deep reinforcement learning over graphs
    Cong Zhang · 2023
86. Motor rehabilitation of human elbow flexion and extension movements using electrical stimuli
    Jhon Paul Feliciano Charaja Casas · 2023
87. Cloud Provisioning and Management with Deep Reinforcement Learning
    Alexandru Tol · 2022
88. Optimización cognitiva de calidad de emisión de contenidos multimedia en redes virtualizadas 5G
    Javier Serrano Romero · 2023
89. การอพยพฝงชนพรอมผนำในสถานรถไฟดวยการเรยนรแบบเสรมกำลง
    นิธินันท์ สินพันธุ์ · 2022
90. An Interactive Autonomous Monitoring Model for Fault Diagnosis in Photovoltaic Arrays Based on Deep Reinforcement Learning
    Sherko Salehpour, Amir Nedaei, Aref Eskandari, Jafar Milimonfared, Mohammadreza Aghaei · 2023 · SSRN Electronic Journal
91. Deep learning-based traffic flow prediction and traffic management system for urban transportation networks
    Han Zhao · 2023
92. Intelligent access control system using decentralized identity with security level
    Hyunsoo Kim, Chang-Jun Choi, Kyung-Yeob Park, Chang-Hyun Roh, Dong-Myung Shin · 2023 · Journal of Software Assessment and Valuation
93. Reinforcement learning applied to an Active Noise Control system in Sonic Crystal Noise Barriers
    David Ramírez-Solana, Jaime Galiana-Nieves, Javier Redondo, Agostino Marcello Mangini, Maria Pia Fanti · 2024 · Convention of the European Acoustics Association Forum Acusticum
94. Deep Reinforcement Learning based Real-Time Path Planning and Flight Validation of small UAS Application
    JinHyuk Park, Junki Shim, Gwonyeol Lee, Seongim Choi · 2024 · AIAA SciTech Forum
95. Empowering distributed constraint optimization with deep learning
    Yanchen Deng · 2023
96. Road to AGI: The Importance of Clear Objectives and Reward Functions
    Mohammad Rasoolinejad · 2024 · Preprints.org
97. Traffic Light Control Using Reinforcement and Deep Learning: A Survey and Comparison
    Aicha Saadi, Noreddine Abghour, Zouhair Chiba, Khalid Moussaid, Saadi Ali · 2024 · Lecture notes in networks and systems
98. Machine Translation for Indian Sign Language Enhancing Accessibility for People With Disabilities
    Nivedita Bhirud, Subhash B. Tatale, Anne Venkata Praveen Krishna, Harshal Humne, Bill G. Dsouza, Gitanjali R. Shinde, Parikshit Narendra Mahalle · 2025 · IGI Global eBooks
99. Exploring the Potential of the Bicameral Mind Theory in Reinforcement Learning Algorithms
    Мухитдинова Мунаввархон Хаётовна, Mariana Mateeva Petrova · 2025 · Computers
100. Cryptocurrency portfolio management using generative adversarial network (GAN) compared with deep reinforcement learning
     Taufeeq Hussain, Mr Ramamoorthy · 2025 · AIP conference proceedings