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AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N.

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Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning., , , , and . AAMAS, page 2760-2762. ACM, (2023)On the Impossibility of Convergence of Mixed Strategies with No Regret Learning., , and . CoRR, (2020)Interactive Learning with Pricing for Optimal and Stable Allocations in Markets., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 9773-9806. PMLR, (2023)AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N., , , , , , , and . CoRR, (2022)Optimal Resource Allocation over Networks via Lottery-Based Mechanisms., and . GAMENETS, volume 277 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 51-70. Springer, (2019)Learning in Games with Cumulative Prospect Theoretic Preferences., and . Dyn. Games Appl., 13 (1): 265-306 (March 2023)On the geometry of nash and correlated equilibria with cumulative prospect theoretic preferences., and . Allerton, page 724-731. IEEE, (2017)On the Geometry of Nash and Correlated Equilibria with Cumulative Prospect Theoretic Preferences., and . Decision Analysis, 16 (2): 142-156 (2019)MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning., , , and . Trans. Mach. Learn. Res., (2023)Interactive Recommendations for Optimal Allocations in Markets with Constraints., , and . CoRR, (2022)