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Ship energy scheduling with DQN-CE algorithm combining bi-directional LSTM and attention mechanism

Applied energy, 2023-10, Vol.347, p.121378, Article 121378

2023

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Advertising Impression Resource Allocation Strategy with Multi-Level Budget Constraint DQN in Real-Time Bidding

Neurocomputing (Amsterdam), 2022-06, Vol.488, p.647-656

2022

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Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment

IEEE transactions on systems, man, and cybernetics. Systems, 2021-12, Vol.51 (12), p.7363-7381

2021

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Elastic step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks

Neurocomputing (Amsterdam), 2024-04, Vol.576, p.127170, Article 127170

2024

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Learning path recommendation with multi-behavior user modeling and cascading deep Q networks

Knowledge-based systems, 2024-06, Vol.294, Article 111743

2024

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Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach

IEEE internet of things journal, 2019-04, Vol.6 (2), p.1938-1948

2019

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Collaborative Data Scheduling for Vehicular Edge Computing via Deep Reinforcement Learning

IEEE internet of things journal, 2020-10, Vol.7 (10), p.9637-9650

2020

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Car Following Model and Algorithm Design based on Reinforcement Learning

Journal of physics. Conference series, 2021-11, Vol.2083 (3), p.32008

Ren, Jie

2021

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Deep Reinforcement Learning of Collision-Free Flocking Policies for Multiple Fixed-Wing UAVs Using Local Situation Maps

IEEE transactions on industrial informatics, 2022-02, Vol.18 (2), p.1260-1270

2022

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Deep reinforcement learning approach with hybrid action space for mobile charging in wireless rechargeable sensor networks

Expert systems with applications, 2024-09, Vol.249, Article 123752

2024

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Deep-Reinforcement-Learning-Based Autonomous Voltage Control for Power Grid Operations

IEEE transactions on power systems, 2020-01, Vol.35 (1), p.814-817

2020

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Multi-Agent Deep Reinforcement Learning-Based Algorithm For Fast Generalization On Routing Problems

Procedia computer science, 2021, Vol.193, p.228-238

2021

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DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks

IEEE transactions on visualization and computer graphics, 2019-01, Vol.25 (1), p.288-298

2019

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A Compact Dqn Model for Mobile Agents with Collision Avoidance

Journal of automation, mobile robotics & intelligent systems, 2023-06, Vol.17 (2), p.28-35

Kamola, Mariusz

2023

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Deep reinforcement learning for extractive document summarization

Neurocomputing (Amsterdam), 2018-04, Vol.284, p.52-62

2018

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Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator

Neurocomputing (Amsterdam), 2023-12, Vol.562, p.126885, Article 126885

2023

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Deep reinforcement learning for pedestrian collision avoidance and human-machine cooperative driving

Information sciences, 2020-09, Vol.532, p.110-124

2020

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Memory-Based Deep Reinforcement Learning for Obstacle Avoidance in UAV With Limited Environment Knowledge

IEEE transactions on intelligent transportation systems, 2021-01, Vol.22 (1), p.107-118

2021

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Heterogeneous Task Offloading and Resource Allocations via Deep Recurrent Reinforcement Learning in Partial Observable Multifog Networks

IEEE internet of things journal, 2021-01, Vol.8 (2), p.1041-1056

2021

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DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning

IEEE transactions on intelligent transportation systems, 2019-12, Vol.20 (12), p.4714-4727

2019

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DQN-ALrM Based Intelligent Handover Method for Satellite-Ground Integrated Network

IEEE transactions on cognitive communications and networking, 2023-08, Vol.9 (4), p.1-1

2023

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Energy Minimization in D2D-Assisted Cache-Enabled Internet of Things: A Deep Reinforcement Learning Approach

IEEE transactions on industrial informatics, 2020-08, Vol.16 (8), p.5412-5423

2020

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Multi-Agent Deep Q Network to Enhance the Reinforcement Learning for Delayed Reward System

Applied sciences, 2022-04, Vol.12 (7), p.3520

Kim, Keecheon

2022

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Learning Control for Air Conditioning Systems via Human Expressions

IEEE transactions on industrial electronics (1982), 2021-08, Vol.68 (8), p.7662-7671

2021

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Hierarchical Semantic Risk Minimization for Large-Scale Classification

IEEE transactions on cybernetics, 2022-09, Vol.52 (9), p.9546-9558

2022

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Ship energy scheduling with DQN-CE algorithm combining bi-directional LSTM and attention mechanism

Advertising Impression Resource Allocation Strategy with Multi-Level Budget Constraint DQN in Real-Time Bidding

Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment

Elastic step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks

Learning path recommendation with multi-behavior user modeling and cascading deep Q networks

Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach

Collaborative Data Scheduling for Vehicular Edge Computing via Deep Reinforcement Learning

Car Following Model and Algorithm Design based on Reinforcement Learning

Deep Reinforcement Learning of Collision-Free Flocking Policies for Multiple Fixed-Wing UAVs Using Local Situation Maps

Deep reinforcement learning approach with hybrid action space for mobile charging in wireless rechargeable sensor networks

Deep-Reinforcement-Learning-Based Autonomous Voltage Control for Power Grid Operations

Multi-Agent Deep Reinforcement Learning-Based Algorithm For Fast Generalization On Routing Problems

DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks

A Compact Dqn Model for Mobile Agents with Collision Avoidance

Deep reinforcement learning for extractive document summarization

Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator

Deep reinforcement learning for pedestrian collision avoidance and human-machine cooperative driving

Memory-Based Deep Reinforcement Learning for Obstacle Avoidance in UAV With Limited Environment Knowledge

Heterogeneous Task Offloading and Resource Allocations via Deep Recurrent Reinforcement Learning in Partial Observable Multifog Networks

DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning

DQN-ALrM Based Intelligent Handover Method for Satellite-Ground Integrated Network

Energy Minimization in D2D-Assisted Cache-Enabled Internet of Things: A Deep Reinforcement Learning Approach

Multi-Agent Deep Q Network to Enhance the Reinforcement Learning for Delayed Reward System

Learning Control for Air Conditioning Systems via Human Expressions

Hierarchical Semantic Risk Minimization for Large-Scale Classification

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