Promoting Global Cooperation in Mitigating Climate Change: A Competition to Save the Planet
Climate change continues to be one of the most pressing global challenges of our time. To tackle this complex issue, collaboration and cooperation between nations are crucial. In a groundbreaking initiative, MILA and Salesforce Research have organized a competition that aims to foster global cooperation and mitigate climate change through an innovative modeling approach.
Understanding the Competition
At the heart of this competition is the RICE-N Integrated Assessment Model (IAM), an agent-based model that incorporates both DICE climate-economic dynamics and multi-lateral negotiation protocols between several fictitious nations. Participants in the competition are tasked with designing negotiation protocols and contracts between nations. Using the simulation and agents, they evaluate the impact of these protocols on the climate and the economy.
Leveraging Advanced Technologies
To enable participants to effectively address the challenges of climate change, the competition leverages advanced technologies. Participants are encouraged to use PyTorch, a powerful deep learning framework, for creating negotiation protocols. The competition also recommends using either Warp Drive or RLlib frameworks for training reinforcement learning (RL) agents. Warp Drive, an innovative GPU-based framework, offers significantly faster training speeds compared to traditional CPU-based training. On the other hand, RLlib is an open-source RL framework that is well-suited for CPU-based training.
Real-World Use Cases
The competition provides participants with a rich set of resources and tutorials to get started. These resources include a dedicated website with comprehensive information, a code tutorial notebook hosted on Google Colab with free GPU availability, and a Kaggle tutorial notebook with GPU support. Participants can access these resources to learn more about the competition and gain insights into negotiation protocols and RL training techniques.
Collaborative Learning Environment
What sets this competition apart is its emphasis on collaboration and learning. Participants can engage in discussions with experts from MILA and Salesforce Research, as well as fellow participants, to exchange ideas, seek assistance, and learn from each other. The collaborative learning environment enhances the competition experience and fosters the development of novel and effective solutions.
Towards a Sustainable Future
This competition represents a unique opportunity to make a tangible impact on the global efforts to mitigate climate change. By designing effective negotiation protocols and contracts, participants have the chance to shape the future of climate cooperation. The competition showcases the power of advanced technologies like PyTorch, Ray, and Warp Drive in addressing complex global challenges. Together, we can work towards a sustainable future and create a positive impact on the planet.
Join MILA and Salesforce Research in this exciting competition and help foster global cooperation to save the planet.
Category: Climate Change, AI, Competition
Tags: Climate Cooperation, Multi-lateral Negotiation, Agent-based Modeling, PyTorch, Ray, Warp Drive
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