{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T10:21:12Z","timestamp":1784283672461,"version":"3.55.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:p>To be successful in real-world tasks, Reinforcement Learning (RL) needs to exploit the compositional, relational, and hierarchical structure of the world, and learn to transfer it to the task at hand. Recent advances in representation learning for language make it possible to build models that acquire world knowledge from text corpora and integrate this knowledge into downstream decision making problems. We thus argue that the time is right to investigate a tight integration of natural language understanding into RL in particular. We survey the state of the field, including work on instruction following, text games, and learning from textual domain knowledge. Finally, we call for the development of new environments as well as further investigation into the potential uses of recent Natural Language Processing (NLP) techniques for such tasks.<\/jats:p>","DOI":"10.24963\/ijcai.2019\/880","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T03:46:05Z","timestamp":1564285565000},"page":"6309-6317","source":"Crossref","is-referenced-by-count":75,"title":["A Survey of Reinforcement Learning Informed by Natural Language"],"prefix":"10.24963","author":[{"given":"Jelena","family":"Luketina","sequence":"first","affiliation":[{"name":"University of Oxford"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nantas","family":"Nardelli","sequence":"additional","affiliation":[{"name":"University of Oxford"},{"name":"Facebook AI Research"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gregory","family":"Farquhar","sequence":"additional","affiliation":[{"name":"University of Oxford"},{"name":"Facebook AI Research"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jakob","family":"Foerster","sequence":"additional","affiliation":[{"name":"Facebook AI Research"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacob","family":"Andreas","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edward","family":"Grefenstette","sequence":"additional","affiliation":[{"name":"Facebook AI Research"},{"name":"University College London"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shimon","family":"Whiteson","sequence":"additional","affiliation":[{"name":"University of Oxford"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tim","family":"Rockt\u00e4schel","sequence":"additional","affiliation":[{"name":"Facebook AI Research"},{"name":"University College London"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10584","event":{"name":"Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}","theme":"Artificial Intelligence","location":"Macao, China","acronym":"IJCAI-2019","number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2019,8,10]]},"end":{"date-parts":[[2019,8,16]]}},"container-title":["Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T03:52:25Z","timestamp":1564285945000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/880"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2019\/880","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}