2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2023
AI For Global Climate Cooperation 2023 Competition Proceedings
Yoshua Bengio, Prateek Gupta, Lu Li +6
The international community must collaborate to mitigate climate change and sustain economic growth. However, collaboration is hard to achieve, partly because no global authority c…
cs.LG2022★ 2 cited
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
Tianyu Zhang, Andrew Williams, Soham Phade +5
Comprehensive global cooperation is essential to limit global temperature increases while continuing economic development, e.g., reducing severe inequality or achieving long-term e…
cs.LG2021★ 1 cited
WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU
Tian Lan, Sunil Srinivasa, Huan Wang +1
Deep reinforcement learning (RL) is a powerful framework to train decision-making models in complex environments. However, RL can be slow as it requires repeated interaction with a…