Welcome to Team Ravenclaw's repository for the AI4GCC competition! In this repository, you'll find our implementation of negotiation strategies in the rice.py file. Our modeling training and testing procedures adhere to the settings provided by the original repository.
Due to the page limitation in the final report, we've included our results below for your reference:
Results:
| Temperature Rise | Gross Output | Climate Index | Economic Index | Note |
|---|---|---|---|---|
| 2.39 | 8642 | 0.8 | 0.89 | Bilateral Negotiation with Mitigation and Saving rate |
| 2.39 | 8560 | 0.8 | 0.88 | Bilateral Negotiation with Mitigation and Saving rate |
| 3.47 | 7612 | 0.61 | 0.77 | Static Grouping with Mitigation and Saving Rate and Fix Ratio |
| 2.34 | 3610 | 0.81 | 0.33 | Static Grouping with Mitigation and Fix Ratio |
| 3.89 | 5922 | 0.54 | 0.59 | Static Grouping with only Mitigation (refer to the paper) |
| 3.41 | 7569 | 0.62 | 0.77 | Static Grouping with Mitigation and Saving Rate (refer to the paper) |
| 3.79 | 7630 | 0.56 | 0.77 | Dynamic Grouping with Mitigation and Saving rate (refer to the paper) |