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Multi-Agent Learning via Markov Potential Games in Marketplaces for Distributed Energy Resources., , , and . CDC, page 6350-6357. IEEE, (2022)EnergyCoupon: A Case Study on Incentive-based Demand Response in Smart Grid., , , , , , , and . e-Energy, page 80-90. ACM, (2017)A Market for Retail Electric Provider Based Demand Response., , , and . CDC, page 8429-8434. IEEE, (2019)FlowBazaar: A Market-Mediated Software Defined Communications Ecosystem at the Wireless Edge., , , , , , , , , and . CoRR, (2018)Modeling and Analysis of Utilizing Cryptocurrency Mining for Demand Flexibility in Electric Energy Systems: A Synthetic Texas Grid Case Study., , and . CoRR, (2022)Learning Trembling Hand Perfect Mean Field Equilibrium for Dynamic Mean Field Games., , , and . CoRR, (2020)Reinforcement Learning for Mean Field Games with Strategic Complementarities., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 2458-2466. PMLR, (2021)Impact of Climate Simulation Resolutions on Future Energy System Reliability Assessment: A Texas Case Study., , , , , and . CoRR, (2023)OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation., , , , , and . CoRR, (2022)High Resolution Modeling and Analysis of Cryptocurrency Mining's Impact on Power Grids: Carbon Footprint, Reliability, and Electricity Price., , , , , , and . CoRR, (2022)