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Integration of Large Language Models with Proximal Policy Optimization for Autonomous Mobile Robot Control in Dynamic Environments

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Explore Advanced Hybrid Deep Learning for Enhanced Wireless Signal Detection in 5G OFDM Systems

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Optimizing Energy Storage Systems Using Deep Reinforcement Learning in Smart Grids

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Optimizing Traffic Signal Control Using LLM-Driven Reward Weight Adjustment in Reinforcement Learning

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Deep Reinforcement Learning-Based Task Partitioning Ratio Decision Mechanism in High-Speed Rail Environments with Mobile Edge Computing Server

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Client Selection for Federated Learning in Vehicular Edge Computing: A Deep Reinforcement Learning Approach

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지진으로 인한 건물 손상 예측 모델의 효율성 분석

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Computation Offloading with Resource Allocation Based on DDPG in MEC

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Routing Control Optimization for Autonomous Vehicles in Mixed Traffic Flow Based on Deep Reinforcement Learning

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Integration of Large Language Models with Proximal Policy Optimization for Autonomous Mobile Robot Control in Dynamic Environments

Explore Advanced Hybrid Deep Learning for Enhanced Wireless Signal Detection in 5G OFDM Systems

Optimizing Energy Storage Systems Using Deep Reinforcement Learning in Smart Grids

Optimizing Traffic Signal Control Using LLM-Driven Reward Weight Adjustment in Reinforcement Learning

Deep Reinforcement Learning-Based Task Partitioning Ratio Decision Mechanism in High-Speed Rail Environments with Mobile Edge Computing Server

Client Selection for Federated Learning in Vehicular Edge Computing: A Deep Reinforcement Learning Approach

추천 시스템에서의 선형 모델과 비선형 모델의 성능 비교 연구

지진으로 인한 건물 손상 예측 모델의 효율성 분석

Computation Offloading with Resource Allocation Based on DDPG in MEC

Routing Control Optimization for Autonomous Vehicles in Mixed Traffic Flow Based on Deep Reinforcement Learning