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Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization
منشور في 2023"…In particular, the Proximity Policy Optimization (PPO) reinforcement algorithm is used to discover a policy for sensor selection that results in optimum sensor resource allocation. …"
احصل على النص الكامل
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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
منشور في 2019احصل على النص الكامل
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Blood Glucose Regulation Modelling and Intelligent Control
منشور في 2024احصل على النص الكامل
doctoralThesis -
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Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle
منشور في 2025"…To this end, three model-free DRL-based methods, based on deep deterministic policy gradient (DDPG), twin delayed deep deterministic policy gradient (TD3), and TD3 enhanced with curriculum learning (CL TD3), are developed for determining optimal yaw moment control and energy optimization online. …"
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A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks
منشور في 2025"…We present a structured taxonomy covering value-based, policy-based, actor-critic, model-based, and advanced multi-agent and multi-objective approaches, and link algorithms to tasks such as dispatch, microgrid coordination, real-time pricing, load balancing, and demand–response. …"