Machine learning documents

DDPG explanation:

Blog: https://towardsdatascience.com/deep-deterministic-policy-gradients-explained-2d94655a9b7b

Paper: 

1. An Autonomous Path Planning Model for Unmanned Ships Based on Deep Reinforcement Learning

2. https://www.sciencedirect.com/science/article/pii/S187449072100118X

Youtube: Everything You Need to Know About Deep Deterministic Policy Gradients (DDPG) | Tensorflow 2 Tutorial - YouTube

IRS-UAV PAPER: [2105.14142] Reconfigurable Intelligent Surface-assisted Multi-UAV Networks: Efficient Resource Allocation with Deep Reinforcement Learning (arxiv.org)

Codes: Different algorithms and their comparative results

1.  https://github.com/sweetice/Deep-reinforcement-learning-with-pytorch

2. Deep-Reinforcement-Learning-for-Intelligent-reflecting-Surfaces/DRL_for_IRS.ipynb at main · chestapahuja/Deep-Reinforcement-Learning-for-Intelligent-reflecting-Surfaces · GitHub

3. GitHub - swordest/mec_drl: Deep reinforcement learning for mobile edge computing

4. https://paperswithcode.com/paper/learning-to-beamform-for-intelligent

5. GitHub - liuhang1994/RIS-FL: Simulation Codes for "Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach"

6. GNN-IRS-Beamforming-Reflection/generate_channel.py at main · taojiang-github/GNN-IRS-Beamforming-Reflection · GitHub

7. GitHub - saarthaksm29/Reconfigurable-Intelligent-Surface: Reconfigurable Intelligent Surface for Enhanced Communication Techniques

8. GitHub - elliotchanesane31/RIS

9. GitHub - taojiang-github/GNN-IRS-Beamforming-Reflection

10.GitHub - guohuayan/WSR_maximization_for_RIS_system: This repository contains the source codes for the paper ``Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks'' in IEEE Transactions on Wireless Communications.

11. GitHub - chestapahuja/Deep-Reinforcement-Learning-for-Intelligent-reflecting-Surfaces

12. https://github.com/chestapahuja/Deep-Reinforcement-Learning-for-Intelligent-reflecting-Surfaces

13. GitHub - sweetice/Deep-reinforcement-learning-with-pytorch: PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

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