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Dusit Niyato — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Dusit Niyato
114
papers ·
785
citations ·
136
h-index
Nanyang Technological University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networks
2023 · 45 citations
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
2018 · 17 citations
Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey
2021 · 13 citations
Multiobjective Vehicle Routing Optimization with Time Windows: A Hybrid Approach Using Deep Reinforcement Learning and NSGA-II
2024 · 13 citations
Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach
2020 · 11 citations
Dynamic Resource Allocation for Metaverse Applications with Deep Reinforcement Learning
2023 · 11 citations
Optimizing the Long-Term Average Reward for Continuing MDPs: A Technical Report
2021 · 5 citations
Optimization of Image Transmission in a Cooperative Semantic Communication Networks
2023 · 4 citations
Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks
2018 · 3 citations
Deep Reinforcement Learning Empowered Activity-Aware Dynamic Health Monitoring Systems
2024 · 3 citations
Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications
2020 · 2 citations
Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction
2023 · 2 citations
Multiagent Reinforcement Learning with an Attention Mechanism for Improving Energy Efficiency in LoRa Networks
2023 · 2 citations
Secure Resource Allocation via Constrained Deep Reinforcement Learning
2025 · 1 citations
Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Cases
2024 · 1 citations
Top co-authors
Jiawen Kang
· 10
Hongyang Du
· 8
Dinh Thai Hoang
· 7
Zehui Xiong
· 6
Minrui Xu
· 5
Dong In Kim
· 4
Jiacheng Wang
· 4
and Dong In Kim
· 3
Diep N. Nguyen
· 3
Jinbo Wen
· 3
Junlong Chen
· 3
Nguyen Quang Hieu
· 3
Topics
Model-Based RL
Value-Based
Multi-Agent
Policy Gradient
Safe RL
Exploration
Meta-RL
Game AI