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Deep Reinforcement Learning

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Showing 4401–4450 of 5822 papers

TitleStatusHype
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat—0
A Hierarchical DRL Approach for Resource Optimization in Multi-RIS Multi-Operator Networks—0
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning—0
A Hierarchical Model for Device Placement—0
A Human Mixed Strategy Approach to Deep Reinforcement Learning—0
AIaaS for ORAN-based 6G Networks: Multi-time Scale Slice Resource Management with DRL—0
AI-based Robust Resource Allocation in End-to-End Network Slicing under Demand and CSI Uncertainties—0
AI-driven control of bioelectric signalling for real-time topological reorganization of cells—0
AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment -- Challenges and Solutions—0
Adaptive Multi-Agent Deep Reinforcement Learning for Timely Healthcare Interventions—0
AI-Driven Risk-Aware Scheduling for Active Debris Removal Missions—0
AI-enabled Priority and Auction-Based Spectrum Management for 6G—0
AI on the Water: Applying DRL to Autonomous Vessel Navigation—0
AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning—0
AITuning: Machine Learning-based Tuning Tool for Run-Time Communication Libraries—0
Effective Communications: A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning over Noisy Channels—0
A Learning-based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehicles—0
A Learning-Based Trajectory Planning of Multiple UAVs for AoI Minimization in IoT Networks—0
A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning—0
Algorithmic Collusion in Dynamic Pricing with Deep Reinforcement Learning—0
Algorithmic Control Improves Residential Building Energy and EV Management when PV Capacity is High but Battery Capacity is Low—0
Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction—0
Algorithmic Trading Using Continuous Action Space Deep Reinforcement Learning—0
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory—0
Aligning Crowd Feedback via Distributional Preference Reward Modeling—0
AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems—0
AlphaSeq: Sequence Discovery with Deep Reinforcement Learning—0
AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks—0
Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search—0
Alzheimers Disease Diagnosis using Machine Learning: A Review—0
A Machine Learning Approach to Routing—0
A machine learning pipeline for autonomous numerical analytic continuation of Dyson-Schwinger equations—0
A Maintenance Planning Framework using Online and Offline Deep Reinforcement Learning—0
A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change—0
AME: Attention and Memory Enhancement in Hyper-Parameter Optimization—0
A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling—0
A Memory-Based Reinforcement Learning Approach to Integrated Sensing and Communication—0
A Memory Efficient Deep Reinforcement Learning Approach For Snake Game Autonomous Agents—0
A Meta-Reinforcement Learning Approach to Process Control—0
A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning—0
A modular framework for automated evaluation of procedural content generation in serious games with deep reinforcement learning agents—0
A modular framework for stabilizing deep reinforcement learning control—0
Amortised Design Optimization for Item Response Theory—0
Amortized Active Causal Induction with Deep Reinforcement Learning—0
A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids—0
A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways—0
A Multi-Agent Deep Reinforcement Learning Method for Cooperative Load Frequency Control of a Multi-Area Power System—0
A Multi-Agent DRL-Based Framework for Optimal Resource Allocation and Twin Migration in the Multi-Tier Vehicular Metaverse—0
A Multi-Objective Deep Reinforcement Learning Framework—0
An Abstraction-based Method to Check Multi-Agent Deep Reinforcement-Learning Behaviors—0
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