{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T21:53:28Z","timestamp":1768341208580,"version":"3.49.0"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:00:00Z","timestamp":1670284800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:00:00Z","timestamp":1670284800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,6]]},"DOI":"10.1109\/cdc51059.2022.9992762","type":"proceedings-article","created":{"date-parts":[[2023,1,10]],"date-time":"2023-01-10T19:26:56Z","timestamp":1673378816000},"page":"6350-6357","source":"Crossref","is-referenced-by-count":7,"title":["Multi-Agent Learning via Markov Potential Games in Marketplaces for Distributed Energy Resources"],"prefix":"10.1109","author":[{"given":"Dheeraj","family":"Narasimha","sequence":"first","affiliation":[{"name":"3128 Texas A&M University,Dept.of Electrical and Computer Engineering,College Station,Texas"}]},{"given":"Kiyeob","family":"Lee","sequence":"additional","affiliation":[{"name":"3128 Texas A&M University,Dept.of Electrical and Computer Engineering,College Station,Texas"}]},{"given":"Dileep","family":"Kalathil","sequence":"additional","affiliation":[{"name":"3128 Texas A&M University,Dept.of Electrical and Computer Engineering,College Station,Texas"}]},{"given":"Srinivas","family":"Shakkottai","sequence":"additional","affiliation":[{"name":"3128 Texas A&M University,Dept.of Electrical and Computer Engineering,College Station,Texas"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCNS.2019.2910463"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2745844.2745890"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3077839.3077862"},{"key":"ref4","article-title":"Learning in nonzero-sum stochastic games with potentials","volume-title":"Proceedings of the 38th International Conference on Machine Learning","author":"Mguni"},{"key":"ref5","article-title":"Global convergence of multi-agent policy gradient in Markov potential games","volume-title":"International Conference on Learning Representations","author":"Leonardos"},{"key":"ref6","article-title":"Gradient play in multi-agent Markov stochastic games: Stationary points and convergence","author":"Zhang","year":"2021"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-8176-4834-3_22"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1006\/game.1996.0044"},{"key":"ref9","volume-title":"The theory of learning in games","volume":"2","author":"Fudenberg","year":"1998"},{"key":"ref10","article-title":"Learning in potential games","volume-title":"IIASA Interim Report","author":"Ermoliev","year":"1997"},{"key":"ref11","article-title":"Learning with bandit feedback in potential games","volume-title":"Advances in Neural Information Processing Systems","author":"Heliou","year":"2017"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.39.10.1953"},{"key":"ref13","volume-title":"Competitive Markov decision processes","author":"Filar","year":"2012"},{"key":"ref14","article-title":"On pure Nash equilibria in stochastic games","author":"Hemachandra"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-17142-5_31"},{"key":"ref16","article-title":"Multiagent reinforcement learning: Theoretical framework and an algorithm","author":"Hu","year":"1998","journal-title":"ICML"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50027-1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-14435-6_7"},{"key":"ref19","article-title":"An overview of multi-agent reinforcement learning from game theoretical perspective","author":"Yang","year":"2020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2012.08.037"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2013.2246511"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2551693"},{"key":"ref23","article-title":"Independent natural policy gradient always converges in Markov potential games","author":"Fox","year":"2021"},{"key":"ref24","article-title":"Multiagent learning via Markov potential games in electricity marketplaces","author":"Narasimha"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.32917\/hmj\/1206139508"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-45567-4_19"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1287\/opre.29.5.995"},{"key":"ref28","first-page":"3185","article-title":"Finite-time analysis of asynchronous stochastic approximation and Q-Learning","volume-title":"Conference on Learning Theory","author":"Qu"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.isci.2021.103723"}],"event":{"name":"2022 IEEE 61st Conference on Decision and Control (CDC)","location":"Cancun, Mexico","start":{"date-parts":[[2022,12,6]]},"end":{"date-parts":[[2022,12,9]]}},"container-title":["2022 IEEE 61st Conference on Decision and Control (CDC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9992315\/9992317\/09992762.pdf?arnumber=9992762","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,28]],"date-time":"2024-09-28T05:30:48Z","timestamp":1727501448000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9992762\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,6]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/cdc51059.2022.9992762","relation":{},"subject":[],"published":{"date-parts":[[2022,12,6]]}}}