Works about DEEP reinforcement learning
Results: 1662
Long-Term Recommendation Model for Online Education Systems: A Deep Reinforcement Learning Approach.
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- International Journal of Advanced Computer Science & Applications, 2025, v. 16, n. 2, p. 342, doi. 10.14569/ijacsa.2025.0160237
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6G-Enabled Autonomous Vehicle Networks: Theoretical Analysis of Traffic Optimization and Signal Elimination.
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- International Journal of Advanced Computer Science & Applications, 2025, v. 16, n. 2, p. 1, doi. 10.14569/ijacsa.2025.0160201
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A Comprehensive Survey of Recent Proposed Content Replacement Strategies for Cooperative Edge Caching in IoT.
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- Majlesi Journal of Telecommunication Devices, 2024, v. 13, n. 4, p. 191, doi. 10.71822/mjtd.2024.1126829
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3차원 환경에서 심층 강화학습을 이용한 무인항공기의 소노부이 최적 배치.
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- Journal of the Korea Institute of Information & Communication Engineering, 2025, v. 29, n. 2, p. 187, doi. 10.6109/jkiice.2025.29.2.187
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Efficient network attack path optimization method based on prior knowledge-based PPO algorithm.
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- Cybersecurity (2523-3246), 2025, v. 8, n. 1, p. 1, doi. 10.1186/s42400-024-00288-8
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A collision avoidance decision-making method for multiple marine autonomous surface ships based on P3DL-PPO algorithm.
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- Journal of Marine Science & Technology, 2025, v. 30, n. 1, p. 205, doi. 10.1007/s00773-024-01046-8
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Image steganalysis using active learning and hyperparameter optimization.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-92082-w
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A distributed deep reinforcement learning-based longitudinal control strategy for connected automated vehicles combining attention mechanism.
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- Transportation Letters, 2025, v. 17, n. 2, p. 183, doi. 10.1080/19427867.2024.2335084
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Velocity control of a Stephenson III six-bar linkage-based gait rehabilitation robot using deep reinforcement learning.
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- Neural Computing & Applications, 2025, v. 37, n. 7, p. 5671, doi. 10.1007/s00521-024-10944-2
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Deep Reinforcement Learning-Driven Hybrid Precoding for Efficient Mm-Wave Multi-User MIMO Systems.
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- Journal of Sensor & Actuator Networks, 2025, v. 14, n. 1, p. 20, doi. 10.3390/jsan14010020
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Energy-Efficient and Secure Double RIS-Aided Wireless Sensor Networks: A QoS-Aware Fuzzy Deep Reinforcement Learning Approach.
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- Journal of Sensor & Actuator Networks, 2025, v. 14, n. 1, p. 18, doi. 10.3390/jsan14010018
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Enhancing HVAC Control Systems Using a Steady Soft Actor–Critic Deep Reinforcement Learning Approach.
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- Buildings (2075-5309), 2025, v. 15, n. 4, p. 644, doi. 10.3390/buildings15040644
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A Comprehensive Review of Deep Learning Techniques in Mobile Robot Path Planning: Categorization and Analysis.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 2179, doi. 10.3390/app15042179
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Research on Robotic Peg-in-Hole Assembly Method Based on Variable Admittance.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 2143, doi. 10.3390/app15042143
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Exploration-Driven Genetic Algorithms for Hyperparameter Optimisation in Deep Reinforcement Learning.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 2067, doi. 10.3390/app15042067
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Efficient Task Allocation in Multi-Agent Systems Using Reinforcement Learning and Genetic Algorithm.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 1905, doi. 10.3390/app15041905
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Comprehensive Review of Robotics Operating System-Based Reinforcement Learning in Robotics.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 1840, doi. 10.3390/app15041840
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Cooperative Formation Control of a Multi-Agent Khepera IV Mobile Robots System Using Deep Reinforcement Learning.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 1777, doi. 10.3390/app15041777
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Participant Selection for Efficient and Trusted Federated Learning in Blockchain-Assisted Hierarchical Federated Learning Architectures.
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- Future Internet, 2025, v. 17, n. 2, p. 75, doi. 10.3390/fi17020075
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Relocation Optimization for Shared Electric Vehicles: A Literature Review.
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- World Electric Vehicle Journal, 2025, v. 16, n. 2, p. 108, doi. 10.3390/wevj16020108
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Deep Learning and Reinforcement Learning for Assessing and Enhancing Academic Performance in University Students: A Scoping Review.
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- AI, 2025, v. 6, n. 2, p. 40, doi. 10.3390/ai6020040
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From the Desk of the Editor-in-Chief.
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- IETE Journal of Research, 2025, v. 71, n. 1, p. 1, doi. 10.1080/03772063.2025.2462417
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UAVs Revolutionizing Efficiency: Integrating DRL and Random Walrus for Enhanced Energy and Spectral Resource Management.
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- IETE Journal of Research, 2025, v. 71, n. 1, p. 359, doi. 10.1080/03772063.2024.2397455
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Experimental Implementation of a TD3 Agent Based Speed Controller for Direct Torque Control of PMSM Drives.
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- IETE Journal of Research, 2025, v. 71, n. 1, p. 235, doi. 10.1080/03772063.2024.2395457
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PictureGuard: Enhancing Software-Defined Networking–Internet of Things Security with Novel Image-Based Authentication and Artificial Intelligence-Powered Two-Stage Intrusion Detection.
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- Technologies (2227-7080), 2025, v. 13, n. 2, p. 55, doi. 10.3390/technologies13020055
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Intelligent Congestion Control in Wireless Sensor Networks (WSN) Based on Generative Adversarial Networks (GANs) and Optimization Algorithms.
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- Mathematics (2227-7390), 2025, v. 13, n. 4, p. 597, doi. 10.3390/math13040597
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An Optimized Method for Solving the Green Permutation Flow Shop Scheduling Problem Using a Combination of Deep Reinforcement Learning and Improved Genetic Algorithm.
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- Mathematics (2227-7390), 2025, v. 13, n. 4, p. 545, doi. 10.3390/math13040545
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Advancing Dynamic Emergency Route Optimization with a Composite Network Deep Reinforcement Learning Model.
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- Systems, 2025, v. 13, n. 2, p. 127, doi. 10.3390/systems13020127
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Solving Dynamic Multi-Objective Flexible Job Shop Scheduling Problems Using a Dual-Level Integrated Deep Q-Network Approach.
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- Processes, 2025, v. 13, n. 2, p. 386, doi. 10.3390/pr13020386
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Research on Unmanned Aerial Vehicle Intelligent Maneuvering Method Based on Hierarchical Proximal Policy Optimization.
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- Processes, 2025, v. 13, n. 2, p. 357, doi. 10.3390/pr13020357
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Buoy and Winch Collaborative Control System Based on Deep Reinforcement Learning.
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- Journal of Marine Science & Engineering, 2025, v. 13, n. 2, p. 326, doi. 10.3390/jmse13020326
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Deep Reinforcement Learning Based Optimal Operation of Low-Carbon Island Microgrid with High Renewables and Hybrid Hydrogen–Energy Storage System.
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- Journal of Marine Science & Engineering, 2025, v. 13, n. 2, p. 225, doi. 10.3390/jmse13020225
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Study on the Multi-Equipment Integrated Scheduling Problem of a U-Shaped Automated Container Terminal Based on Graph Neural Network and Deep Reinforcement Learning.
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- Journal of Marine Science & Engineering, 2025, v. 13, n. 2, p. 197, doi. 10.3390/jmse13020197
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A SAC-Bi-RRT Two-Layer Real-Time Motion Planning Approach for Robot Assembly Tasks in Unstructured Environments.
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- Actuators, 2025, v. 14, n. 2, p. 59, doi. 10.3390/act14020059
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Unmanned Aerial Vehicle Path Planning in Complex Dynamic Environments Based on Deep Reinforcement Learning.
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- Machines, 2025, v. 13, n. 2, p. 162, doi. 10.3390/machines13020162
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Improving recurrent deterministic policy gradient strategy in autonomous driving: Improving recurrent deterministic policy...: Y. Ooi, C. Chang.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2025, v. 29, n. 3, p. 1931, doi. 10.1007/s00500-025-10442-0
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- Article
Angular Momentum Control Strategy of Control Moment Gyroscope Array Based on Deep Reinforcement Learning in Spacecraft Attitude Control System.
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- Aerospace (MDPI Publishing), 2025, v. 12, n. 2, p. 134, doi. 10.3390/aerospace12020134
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- Article
Path planning of mobile robot based on improved double deep Q-network algorithm.
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- Frontiers in Neurorobotics, 2025, p. 1, doi. 10.3389/fnbot.2025.1512953
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Computation offloading in vehicular communications using PPO-based deep reinforcement learning: Computation offloading in vehicular communications...: E. Mustafa et al.
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- Journal of Supercomputing, 2025, v. 81, n. 4, p. 1, doi. 10.1007/s11227-025-07009-z
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- Article
SmartAPM framework for adaptive power management in wearable devices using deep reinforcement learning.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-89709-3
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- Article
Development and validation of a deep reinforcement learning algorithm for auto-delineation of organs at risk in cervical cancer radiotherapy.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-91362-9
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- Article
Trajectory Tracking Control Based on Deep Reinforcement Learning for a Robotic Manipulator with an Input Deadzone.
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- Symmetry (20738994), 2025, v. 17, n. 2, p. 149, doi. 10.3390/sym17020149
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Digital Real-Time Simulation and Power Quality Analysis of a Hydrogen-Generating Nuclear-Renewable Integrated Energy System.
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- Energies (19961073), 2025, v. 18, n. 4, p. 937, doi. 10.3390/en18040937
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Speed Optimization Control of a Permanent Magnet Synchronous Motor Based on TD3.
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- Energies (19961073), 2025, v. 18, n. 4, p. 901, doi. 10.3390/en18040901
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Two-Stage Unsupervised Hyperspectral Band Selection Based on Deep Reinforcement Learning.
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- Remote Sensing, 2025, v. 17, n. 4, p. 586, doi. 10.3390/rs17040586
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Machine Learning for Decision Support and Automation in Games: A Study on Vehicle Optimal Path.
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- Algorithms, 2025, v. 18, n. 2, p. 106, doi. 10.3390/a18020106
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Energy Scheduling of Hydrogen Hybrid UAV Based on Model Predictive Control and Deep Deterministic Policy Gradient Algorithm.
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- Algorithms, 2025, v. 18, n. 2, p. 80, doi. 10.3390/a18020080
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Deep Reinforcement Learning-Based Routing Method for Low Earth Orbit Mega-Constellation Satellite Networks with Service Function Constraints.
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- Sensors (14248220), 2025, v. 25, n. 4, p. 1232, doi. 10.3390/s25041232
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Actor Prioritized Experience Replay.
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- Journal of Artificial Intelligence Research, 2023, v. 78, p. 639, doi. 10.1613/jair.1.14819
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A new evolutionary strategy for reinforcement learning.
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- Multimedia Tools & Applications, 2025, v. 84, n. 4, p. 1745, doi. 10.1007/s11042-024-19142-7
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