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Deep Reinforcement Learning
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
LiLM-RDB-SFC: Lightweight Language Model with Relational Database-Guided DRL for Optimized SFC Provisioning
Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound
Sensing Accuracy Optimization for Multi-UAV SAR Interferometry with Data Offloading
Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks
Deep Reinforcement Learning with Gradient Eligibility Traces
Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning
Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
Explainable AI for Radar Resource Management: Modified LIME in Deep Reinforcement Learning
rQdia: Regularizing Q-Value Distributions With Image Augmentation
GymPN: A Library for Decision-Making in Process Management Systems
Learning-Based Resource Management in Integrated Sensing and Communication Systems
Multi-Objective Reinforcement Learning for Cognitive Radar Resource Management
TRACED: Transition-aware Regret Approximation with Co-learnability for Environment Design
Efficient Beam Selection for ISAC in Cell-Free Massive MIMO via Digital Twin-Assisted Deep Reinforcement Learning
Optimal Design of Experiment for Electrochemical Parameter Identification of Li-ion Battery via Deep Reinforcement Learning
BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios
Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
Joint Spectrum Sensing and Resource Allocation for OFDMA-based Underwater Acoustic Communications
A Novel ViDAR Device With Visual Inertial Encoder Odometry and Reinforcement Learning-Based Active SLAM Method
Learning to Explore in Diverse Reward Settings via Temporal-Difference-Error Maximization
The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning
Federated Neuroevolution O-RAN: Enhancing the Robustness of Deep Reinforcement Learning xApps
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty
Automated Treatment Planning for Interstitial HDR Brachytherapy for Locally Advanced Cervical Cancer using Deep Reinforcement Learning
Joint Beamforming with Extremely Large Scale RIS: A Sequential Multi-Agent A2C Approach
Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization
TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement Learning
MOORL: A Framework for Integrating Offline-Online Reinforcement Learning
Foundation Model-Aided Deep Reinforcement Learning for RIS-Assisted Wireless Communication
Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton Therapy
Re4MPC: Reactive Nonlinear MPC for Multi-model Motion Planning via Deep Reinforcement Learning
Safe and Economical UAV Trajectory Planning in Low-Altitude Airspace: A Hybrid DRL-LLM Approach with Compliance Awareness
Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation
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