Version 1.0

README.md

@@ -1 +1,42 @@
-# Game-Theoretic-Deep-Reinforcement-Learning
+# Game-Theoretic-Deep-Reinforcement-Learning
+
+This is the code of paper, named "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", and the proposed solution and comparison algorithms are implemented.
+
+## Environment
+The conda environment file is located in `environment.yml`.    
+It can be used to create the environment by:    
+```bash
+conda env create -f environment.yml
+```
+
+## File Structure
+
+### Main Function
+The main() function of the repo is located in `Experiment/experiment.py`.
+
+### Algorithms
+
+- Multi-agent distributed distributional deep deterministic policy gradient (MAD4PG): `Experiment/run_mad4pg.py`
+- Multi-agent deep deterministic policy gradient (MADDPG): `Experiment/run_maddpg.py`
+- Distributed distributional deep deterministic policy gradient (D4PG): `Experiment/run_d4pg.py`
+- Optimal resource allocation and task local processing only (ORL): `Experiment/run_optres_local.py`
+- Optimal resource allocation and task migration only (ORM): `Experiment/run_optres_edge.py`
+
+### Didi Dataset
+
+The vehicular trajectories for November 16, 2016, generated in Chengdu and extracted from the Didi GAIA Open Data Set, can be found on [neardws/Vehicular-Trajectories-Processing-for-Didi-Open-Data](https://github.com/neardws/Vehicular-Trajectories-Processing-for-Didi-Open-Data).
+
+## Citing this paper 
+```bibtex
+@article{xu2022joint,
+  title={Joint task offloading and resource optimization in NOMA-based vehicular edge computing: A game-theoretic DRL approach},
+  author={Xu, Xincao and Liu, Kai and Dai, Penglin and Jin, Feiyu and Ren, Hualing and Zhan, Choujun and Guo, Songtao},
+  journal={Journal of Systems Architecture},
+  pages={102780},
+  year={2022},
+  issn = {1383-7621},
+  doi = {https://doi.org/10.1016/j.sysarc.2022.102780},
+  url = {https://www.sciencedirect.com/science/article/pii/S138376212200265X},
+  publisher={Elsevier}
+}
+```