{"type":"ScholarlyArticle","title":"Strategic Interactions Among Agents with Bounded Rationality","authors":[{"name":"Pablo Hernandez-Leal","slug":"pablo-hernandez-leal","given":"Pablo","family":"Hernandez-Leal","affiliation":""},{"name":"Enrique Munoz de Cote","slug":"enrique-munoz-de-cote","given":"Enrique Munoz","family":"de Cote","affiliation":""},{"name":"Luis Enrique Sucar","slug":"luis-enrique-sucar","given":"Luis Enrique","family":"Sucar","affiliation":""}],"abstract":"Interactions among agents are complicated since in order to make the best decisions, each agent has to take into account not only the strategy used by other agents but also how those strategies might change in the future (and what causes these changes). The objective of my work will be to develop a framework for learning agent models (opponent or teammate) more accurately and with less interactions, with a special focus on fast learning non-stationary strategies. As preliminary work we have proposed an initial approach for learning non-stationary strategies in repeated games. We use decision trees to learn a model of the agent, and we transform the learned trees into a MDP and solve it to obtain the optimal policy.","doi":null,"url":"https://ijcai.org/proceedings/2013/496","pdf":"https://ijcai.org/proceedings/2013/0496.pdf","markdown":"https://ijcai.org/proceedings/2013/496.md","bibtex":"https://ijcai.org/proceedings/2013/bibtex/496","volume":{"slug":"2013","title":"Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2013","url":"https://ijcai.org/proceedings/2013/","year":2013,"location":"Beijing, China","dates":"3–9 August 2013","editors":"Francesca Rossi","isbn":"978-1-57735-633-2","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":496,"pages":{"first":3219,"last":3219},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}