mlsanityData to 7 Oct 2026

Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Cases

arXiv 2405.20568 ↗First posted 31 May 2024cs.LG cs.NIcited by 12

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Abstract (arXiv)

As a form of artificial intelligence (AI) technology based on interactive learning, deep reinforcement learning (DRL) has been widely applied across various fields and has achieved remarkable accomplishments. However, DRL faces certain limitations, including low sample efficiency and poor generalization. Therefore, we present how to leverage generative AI (GAI) to address these issues above and enhance the performance of DRL algorithms in this paper. We first introduce several classic GAI and DRL algorithms and demonstrate the applications of GAI-enhanced DRL algorithms. Then, we discuss how to use GAI to improve DRL algorithms from the data and policy perspectives. Subsequently, we introduce a framework that demonstrates an actual and novel integration of GAI with DRL, i.e., GAI-enhanced DRL. Additionally, we provide a case study of the framework on UAV-assisted integrated near-field/far-field communication to validate the performance of the proposed framework. Moreover, we present several future directions. Finally, the related code is available at: https://xiewenwen22.github.io/GAI-enhanced-DRL.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 4 of its 15 references that are in the map. First posted on arXiv 31 May 2024.

Builds on

4 of 15 references.

References · 4

  1. 2021HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representationcited by 33
  2. 2023Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Servicescited by 33
  3. 2023Two-Stage Hierarchical Beam Training for Near-Field Communicationscited by 3
  4. 2023Efficient Transfer Learning in Diffusion Models via Adversarial Noisecited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 7; 2026: 3.

12 papers.

  1. 2024Diffusion Models as Network Optimizers: Explorations and Analysiscited by 13
  2. 2025Diffusion Models for Smarter UAVs: Decision-Making and Modelingcited by 7
  3. 2024GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networkscited by 6
  4. 2025Improve the Training Efficiency of DRL for Wireless Communication Resource Allocation: The Role of Generative Diffusion Modelscited by 4
  5. 2025Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challengescited by 3
  6. 2025Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approachescited by 2
  7. 2025Generative AI-Enhanced Cooperative MEC of UAVs and Ground Stations for Unmanned Surface Vehiclescited by 1
  8. 2025ReaCritic: Reasoning Transformer-based DRL Critic-model Scaling For Wireless Networkscited by 1
  9. 2026Large Artificial Intelligence Model Guided Deep Reinforcement Learning for Resource Allocation in Non Terrestrial Networkscited by 1
  10. 2025Partially Decentralized Multi-Agent Q-Learning via Digital Cousins for Wireless Networkscited by 0
  11. 2026Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networkscited by 0
  12. 2026RadioDiff-v2: Generative Angular Radio Maps for Multi-Beam Selection and Localizationcited by 0