For details, check out @yuanjiayi.bsky.social post and our full paper. If you're interested in learning more or collaborating, reach out! 🚀 #AI#ESG#ReinforcementLearning (6/6)
With an ESG disclosure mandate, mitigation boosts ESG scores, helping attract ESG-conscious investors. However, companies can also greenwash—faking ESG efforts at a lower cost. Our existing simulations have already uncovered interesting dynamics! (5/6)
By default, climate risk worsens over time, increasing the chance of disasters that harm all companies. Without an ESG disclosure mandate, companies can mitigate risk, reducing climate threats for all—but at a cost. (4/6)
(1) Mirror how key decision-makers behave in the real world (2) Identify flaws in alternative policy designs (3) Discover sophisticated cooperation strategies beyond human intuition How did we build our MARL environment? (3/6)
Supporters argue an ESG mandate increases transparency and accountability. Opponents fear it raises costs and stifles business growth. We believe RL & MARL communities can help inform such policy debates by designing AI agents that: (2/6)
AI has shown great potential in boosting efficiency. But can it help human society make better decisions as a whole? 🤔 In this project, using MARL, we explore this by studying the impact of an ESG disclosure mandate—a highly controversial policy. (1/6)
In our latest work, we introduce InvestESG, a lightweight, GPU-efficient MARL environment, designed to study incentives surrounding corporate climate mitigation and climate risks. Check out the project website: sites.google.com/view/investe...