{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T03:48:40Z","timestamp":1775879320807,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683263","type":"print"},{"value":"9781643683270","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T00:00:00Z","timestamp":1665964800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,17]]},"abstract":"<jats:p>The adoption of algorithms based on Artificial Intelligence (AI) has been rapidly increasing during the last years. However, some aspects of AI techniques are under heavy scrutiny. For instance, in many cases, it is not clear whether the decisions of an algorithm are well-informed and reliable. Having an answer to these concerns is crucial in many domains, such as those in were humans and intelligent agents must cooperate in a shared environment. In this paper, we introduce an application of an explainability method based on the creation of a Policy Graph (PG) based on discrete predicates that represent and explain a trained agent\u2019s behaviour in a multi-agent cooperative environment. We also present a method to measure the similarity between the explanations obtained and the agent\u2019s behaviour, by building an agent with a policy based on the PG and comparing the behaviour of the two agents.<\/jats:p>","DOI":"10.3233\/faia220358","type":"book-chapter","created":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T12:38:46Z","timestamp":1666010326000},"source":"Crossref","is-referenced-by-count":1,"title":["Testing Reinforcement Learning Explainability Methods in a Multi-Agent Cooperative Environment"],"prefix":"10.3233","author":[{"given":"Marc","family":"Dom\u00e8nech i Vila","sequence":"first","affiliation":[{"name":"Universitat Polit\u00e8cnica de Catalunya, Barcelona, Spain"}]},{"given":"Dmitry","family":"Gnatyshak","sequence":"additional","affiliation":[{"name":"Barcelona Supercomputing Center, Barcelona, Spain"}]},{"given":"Adri\u00e1n","family":"Tormos","sequence":"additional","affiliation":[{"name":"Barcelona Supercomputing Center, Barcelona, Spain"}]},{"given":"Sergio","family":"Alvarez-Napagao","sequence":"additional","affiliation":[{"name":"Barcelona Supercomputing Center, Barcelona, Spain"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Artificial Intelligence Research and Development"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220358","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T12:38:52Z","timestamp":1666010332000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220358"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"ISBN":["9781643683263","9781643683270"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220358","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,17]]}}}