mlsanityData to 7 Oct 2026

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

arXiv 2308.05384 ↗First posted 10 Aug 2023cs.NI eess.SPcited by 56

On the map: Diffusion models → Diffusion for compression and wireless

Abstract (arXiv)

Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across various applications. The ability to model complex data distributions and generate high-quality samples has made GDMs particularly effective in tasks such as image generation and reinforcement learning. Furthermore, their iterative nature, which involves a series of noise addition and denoising steps, is a powerful and unique approach to learning and generating data. This paper serves as a comprehensive tutorial on applying GDMs in network optimization tasks. We delve into the strengths of GDMs, emphasizing their wide applicability across various domains, such as vision, text, and audio generation. We detail how GDMs can be effectively harnessed to solve complex optimization problems inherent in networks. The paper first provides a basic background of GDMs and their applications in network optimization. This is followed by a series of case studies, showcasing the integration of GDMs with Deep Reinforcement Learning (DRL), incentive mechanism design, Semantic Communications (SemCom), Internet of Vehicles (IoV) networks, etc. These case studies underscore the practicality and efficacy of GDMs in real-world scenarios, offering insights into network design. We conclude with a discussion on potential future directions for GDM research and applications, providing major insights into how they can continue to shape the future of network optimization.

Key facts. Cited by 56 papers in the map (data through 7 Oct 2026). Placed in Diffusion for compression and wireless, one of 14 directions in Diffusion models. Builds on 131 of its 238 references that are in the map. First posted on arXiv 10 Aug 2023.

Builds on

131 of 238 references.

Closest ancestors · 3

Same direction, newest first

  1. 2023Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study30 Mar
  2. 2022Denoising Diffusion Error Correction Codes16 Sep
  3. 2022MIMO Channel Estimation using Score-Based Generative Models14 Apr

Other references · 128

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  3. 2023GPT-4 Technical Reportcited by 18,132
  4. 2017Proximal Policy Optimization Algorithmscited by 14,441
  5. 2020Denoising Diffusion Implicit Modelscited by 9,655
  6. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
  7. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
  8. 2022Generative Adversarial Networkscited by 5,603
  9. 2018Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actorcited by 4,635
  10. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
  11. 2022Video Diffusion Modelscited by 2,280
  12. 2015Variational Inference with Normalizing Flowscited by 2,161
38 more
  1. 2020D4RL: Datasets for Deep Data-Driven Reinforcement Learningcited by 1,406
  2. 2020DiffWave: A Versatile Diffusion Model for Audio Synthesiscited by 1,339
  3. 2022Diffusion Models: A Comprehensive Survey of Methods and Applicationscited by 1,107
  4. 2015Prioritized Experience Replaycited by 1,070
  5. 2020Improved Techniques for Training Score-Based Generative Modelscited by 1,036
  6. 2022Planning with Diffusion for Flexible Behavior Synthesiscited by 1,023
  7. 2022Diffusion Models in Vision: A Surveycited by 1,008
  8. 2022Diffusion-LM Improves Controllable Text Generationcited by 1,006
  9. 2019An Introduction to Variational Autoencoderscited by 997
  10. 2016Deep Variational Information Bottleneckcited by 915
  11. 2017Rainbow: Combining Improvements in Deep Reinforcement Learningcited by 774
  12. 2022Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learningcited by 543
  13. 2016Deep Exploration via Bootstrapped DQNcited by 518
  14. 2022Is Conditional Generative Modeling all you need for Decision-Making?cited by 504
  15. 2022DiGress: Discrete Denoising diffusion for graph generationcited by 503
  16. 2019Leveraging Procedural Generation to Benchmark Reinforcement Learningcited by 478
  17. 2016RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentationcited by 463
  18. 2015Deep Recurrent Q-Learning for Partially Observable MDPscited by 457
  19. 2022DiffuSeq: Sequence to Sequence Text Generation with Diffusion Modelscited by 439
  20. 2022TabDDPM: Modelling Tabular Data with Diffusion Modelscited by 373
  21. 2016Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updatescited by 342
  22. 2021Robust Compressed Sensing MRI with Deep Generative Priorscited by 284
  23. 2023Text-to-image Diffusion Models in Generative AI: A Surveycited by 264
  24. 2020Permutation Invariant Graph Generation via Score-Based Generative Modelingcited by 263
  25. 2023Imitating Human Behaviour with Diffusion Modelscited by 260
  26. 2023Diffusion-based Generation, Optimization, and Planning in 3D Scenescited by 237
  27. 2023Goal-Conditioned Imitation Learning using Score-based Diffusion Policiescited by 229
  28. 2022MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generationcited by 225
  29. 2023DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimizationcited by 216
  30. 2020A Review on Generative Adversarial Networks: Algorithms, Theory, and Applicationscited by 209
  31. 2022Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Qualitycited by 181
  32. 2023Conditional Image-to-Video Generation with Latent Flow Diffusion Modelscited by 180
  33. 2022Offline Reinforcement Learning via High-Fidelity Generative Behavior Modelingcited by 177
  34. 2018Applications of Deep Reinforcement Learning in Communications and Networking: A Surveycited by 163
  35. 2021DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanismcited by 154
  36. 2021Symbolic Music Generation with Diffusion Modelscited by 152
  37. 2022Improving Sample Quality of Diffusion Models Using Self-Attention Guidancecited by 151
  38. 2022ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speechcited by 147

50 most cited of 128 All 128 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 4; 2024: 21; 2025: 25; 2026: 6.

56 papers.

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  1. 2024Interactive AI with Retrieval-Augmented Generation for Next Generation Networkingcited by 34
  2. 2024Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmissioncited by 34
  3. 2024Attacks and Defenses for Generative Diffusion Models: A Comprehensive Surveycited by 32
  4. 2023Generative AI for Physical Layer Communications: A Surveycited by 17
  5. 2023From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlookscited by 16
  6. 2024Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunitiescited by 14
  7. 2024Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel Noisescited by 13
  8. 2024DiffSG: A Generative Solver for Network Optimization with Diffusion Modelcited by 13
  9. 2024Diffusion Models as Network Optimizers: Explorations and Analysiscited by 13
  10. 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Artcited by 13
  11. 2023Generative AI-aided Joint Training-free Secure Semantic Communications via Multi-modal Promptscited by 7
  12. 2023Resource-efficient Generative Mobile Edge Networks in 6G Era: Fundamentals, Framework and Case Studycited by 7
38 more
  1. 2024Leveraging Generative AI for Urban Digital Twins: A Scoping Review on the Autonomous Generation of Urban Data, Scenarios, Designs, and 3D City Models for Smart City Advancementcited by 7
  2. 2024Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaversescited by 7
  3. 2024PureDiffusion: Using Backdoor to Counter Backdoor in Generative Diffusion Modelscited by 6
  4. 2024GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networkscited by 6
  5. 2025Generative Diffusion Models for Resource Allocation in Wireless Networkscited by 6
  6. 2025Diffusion Models for Future Networks and Communications: A Comprehensive Surveycited by 6
  7. 2024Communicate Less, Synthesize the Rest: Latency-aware Intent-based Generative Semantic Multicasting with Diffusion Modelscited by 5
  8. 2025Improve the Training Efficiency of DRL for Wireless Communication Resource Allocation: The Role of Generative Diffusion Modelscited by 4
  9. 2025Mapping the Landscape of Generative AI in Network Monitoring and Managementcited by 4
  10. 2024Generative AI for Low-Carbon Artificial Intelligence of Things with Large Language Modelscited by 3
  11. 2025Generative Diffusion Receivers: Achieving Pilot-Efficient MIMO-OFDM Communicationscited by 3
  12. 2025A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networkscited by 3
  13. 2024Large Language Model Empowered Next-Generation MIMO Networks: Fundamentals, Challenges, and Visionscited by 2
  14. 2024Diffusion-based Reinforcement Learning for Dynamic UAV-assisted Vehicle Twins Migration in Vehicular Metaversescited by 2
  15. 2024Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Servicescited by 2
  16. 2025Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehiclescited by 2
  17. 2025Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaversescited by 2
  18. 2025Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approachescited by 2
  19. 2025Diffusion Models for Reinforcement Learning: Foundations, Taxonomy, and Developmentcited by 2
  20. 2024Maximum-Likelihood Estimation Based on Diffusion Model For Wireless Communicationscited by 1
  21. 2024Diffusion Model-based Parameter Estimation in Dynamic Power Systemscited by 1
  22. 2025Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinementcited by 1
  23. 2025Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approachcited by 1
  24. 2025EnvCDiff: Joint Refinement of Environmental Information and Channel Fingerprints via Conditional Generative Diffusion Modelcited by 1
  25. 2025ReaCritic: Reasoning Transformer-based DRL Critic-model Scaling For Wireless Networkscited by 1
  26. 2025BERT4beam: Large AI Model Enabled Generalized Beamforming Optimizationcited by 1
  27. 2025Diffusion Policies with Offline and Inverse Reinforcement Learning for Promoting Physical Activity in Older Adults Using Wearable Sensorscited by 1
  28. 2025Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communicationscited by 1
  29. 2025Hierarchical Task Offloading and Trajectory Optimization in Low-Altitude Intelligent Networks Via Auction and Diffusion-based MARLcited by 1
  30. 2026Diffusion Model-based Reinforcement Learning for Version Age of Information Scheduling: Average and Tail-Risk-Sensitive Controlcited by 1
  31. 2024Generative AI-enabled Blockchain Networks: Fundamentals, Applications, and Case Studycited by 0
  32. 2024The Roles of Generative Artificial Intelligence in Internet of Electric Vehiclescited by 0
  33. 2024Generative Artificial Intelligence (GAI) for Mobile Communications: A Diffusion Model Perspectivecited by 0
  34. 2025Integration of TinyML and LargeML: A Survey of 6G and Beyondcited by 0
  35. 2025Content Accuracy and Quality Aware Resource Allocation Based on LP-Guided DRL for ISAC-Driven AIGC Networkscited by 0
  36. 2025LMM-Incentive: Large Multimodal Model-based Incentive Design for User-Generated Content in Web 3.0cited by 0
  37. 2025Reinforcement Learning and Consumption-Savings Behaviorcited by 0
  38. 2025CNFP: Optimizing Cloud-Native Network Function Placement with Diffusion Models on the Cloud Continuumcited by 0

50 most cited of 56 All 56 (JSON)

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  3. 2023Reinforcement Learning for Generative AI: A Survey
  4. 2024DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning
  5. 2024Improving GFlowNets for Text-to-Image Diffusion Alignment
  6. 2024An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
  7. 2024Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning
  8. 2024Large-scale Reinforcement Learning for Diffusion Models