Works matching DE "DEEP reinforcement learning"
Results: 1675
A hierarchical control framework for alleviating network traffic bottleneck congestion using vehicle trajectory data.
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- Journal of Intelligent Transportation Systems, 2024, v. 28, n. 6, p. 988, doi. 10.1080/15472450.2023.2270428
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Price incentive strategy for the E-scooter sharing service using deep reinforcement learning.
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- Journal of Intelligent Transportation Systems, 2024, v. 28, n. 3, p. 409, doi. 10.1080/15472450.2022.2135437
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Multiagent reinforcement learning for autonomous driving in traffic zones with unsignalized intersections.
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- Journal of Intelligent Transportation Systems, 2024, v. 28, n. 1, p. 103, doi. 10.1080/15472450.2022.2109416
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Testing feasibility of using a hidden Markov model on predicting human mobility based on GPS tracking data.
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- Transportmetrica B: Transport Dynamics, 2024, v. 12, n. 1, p. 1, doi. 10.1080/21680566.2024.2336037
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Modelling motorized and non-motorized vehicle conflicts using multiagent inverse reinforcement learning approach.
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- Transportmetrica B: Transport Dynamics, 2024, v. 12, n. 1, p. 1, doi. 10.1080/21680566.2024.2314762
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Design and analysis of ride-sourcing services with auxiliary autonomous vehicles for transportation hubs in multi-modal transportation systems.
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- Transportmetrica B: Transport Dynamics, 2024, v. 12, n. 1, p. 1, doi. 10.1080/21680566.2024.2333869
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A reinforcement learning framework for improving parking decisions in last-mile delivery.
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- Transportmetrica B: Transport Dynamics, 2024, v. 12, n. 1, p. 1, doi. 10.1080/21680566.2024.2337216
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Adaptive network traffic control with approximate dynamic programming based on a non-homogeneous Poisson demand model.
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- Transportmetrica B: Transport Dynamics, 2024, v. 12, n. 1, p. 1, doi. 10.1080/21680566.2024.2336029
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Traffic signal active control method for short-distance intersections.
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- PLoS ONE, 2025, v. 20, n. 3, p. 1, doi. 10.1371/journal.pone.0319804
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CRDP: Community-Aware Routing Algorithm Based on DNN and PPO: CRDP: Community-Aware Routing Algorithm: H. Ma et al.
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- Wireless Personal Communications, 2025, v. 140, n. 1, p. 607, doi. 10.1007/s11277-025-11740-4
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Deep reinforcement Learning Based on Residual Convolutional Neural Networks and Drop Connect Long Short-Term Memory with Adaptive Feedback for Webpage Quality Classification.
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- Wireless Personal Communications, 2025, v. 140, n. 1, p. 195, doi. 10.1007/s11277-024-11689-w
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RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Compliant Motion Planning Integrating Human Skill for Robotic Arm Collecting Tomato Bunch Based on Improved DDPG.
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- Plants (2223-7747), 2025, v. 14, n. 5, p. 634, doi. 10.3390/plants14050634
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MARCS: A Mobile Crowdsensing Framework Based on Data Shapley Value Enabled Multi-Agent Deep Reinforcement Learning.
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- Computers, Materials & Continua, 2025, v. 82, n. 3, p. 4431, doi. 10.32604/cmc.2025.059880
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An Active Object-Detection Algorithm for Adaptive Attribute Adjustment of Remote-Sensing Images.
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- Remote Sensing, 2025, v. 17, n. 5, p. 818, doi. 10.3390/rs17050818
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Prediction of stock prices with automated reinforced learning algorithms.
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- Expert Systems, 2025, v. 42, n. 2, p. 1, doi. 10.1111/exsy.13725
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Deep reinforcement learning trajectory planning for robotic manipulator based on simulation-efficient training.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-93175-2
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Pixel level deep reinforcement learning for accurate and robust medical image segmentation.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-92117-2
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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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Do as you teach: a multi-teacher approach to self-play in deep reinforcement learning.
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- Neural Computing & Applications, 2025, v. 37, n. 8, p. 5945, doi. 10.1007/s00521-024-10829-4
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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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- Article
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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- Article
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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- Article
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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- Article
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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- Article
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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- Article
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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- Article
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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- Article
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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- Article
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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- Article
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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- Article