Accelerating deep reinforcement learning for autonomous racing by Evans, Benjamin

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Online Training and Pruning of Deep Reinforcement Learning Networks

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Addressing deep reinforcement learning: empirical algorithm performance evaluations∗ by Dubb, Roland

“…Due to the rapidly paced production of deep reinforcement learning (RL) research papers, some recent publications have begun to critique the manner in which RL algorithm performances are evaluated. …”
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Multimodal identity recognition technology based on Deep Reinforcement Learning

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Federated Learning and Deep Reinforcement Learning Synergy: Opportunities for Multi-Cloud Serverless Deployment

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Research on Traffic Signal Control Algorithm Based on Deep Reinforcement Learning

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A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

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Load Balancing in Mobile Networks Using Deep Reinforcement Learning and Traffic Prediction by Raafat Mokhtar Abouamasha, Shorouk

“…The first proposed approach introduces an enhanced self-optimization framework using deep reinforcement learning (RL) to dynamically adjust network parameters such as handover parameters, power levels, and MIMO technology. …”
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A virtual teaching assistant system for dance teaching combining deep learning and reinforcement learning

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Mixed-Criticality Scheduling Using Reinforcement Learning by ElSeadawy, Omar

Subjects: “…Deep reinforcement learning…”
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Reinforcement Learning-based Access Schemes in Cognitive Radio Networks by ElGuindy, Ehab Maged

Subjects: “…Reinforcement Learning…”
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Adaptive Satellite Selection via Deep Reinforcement Learning for Dynamic Emergency Scenarios

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Dynamic Portfolio Optimization with Deep Reinforcement Learning: Evidence from Borsa Istanbul

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Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

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An experience knowledge driven learning algorithm based on deep reinforcement learning for long-distance UAV airdrop

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Cooperative multi-agent reinforcement learning in sparse-reward, partially observable 3d environments with curriculum-transfer learning by Denkema, De Wet

Subjects: “…Reinforcement learning…”
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Optimizing COVID-19 control measures using multi-objective deep reinforcement learning by Folarin, Arinze Lawrence

“…The study highlights the potential of multi-objective deep reinforcement learning as a method of optimizing public health interventions by shedding light on the optimum COVID-19 control methods for various scenarios and models. …”
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…In this study, a solar PV array's MPPT control problem under PSCs is investigated and addressed by applying three model-free and off-policy deep reinforcement learning (DRL) algorithms such as Deep Deterministic Policy Gradient (DDPG), Soft Actor-Critic (SAC), and Deep Q-Network (DQN) algorithm. …”
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AI-Based Dynamic Task Scheduling in Cloud Computing Using Deep Reinforcement Learning

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Hierarchical service chain orchestration for multi-cloud environments enabled by deep reinforcement learning

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