{"type":"ScholarlyArticle","title":"Encoding and Combining Knowledge to Speed up Reinforcement Learning","authors":[{"name":"Tim Brys","slug":"tim-brys","given":"Tim","family":"Brys","affiliation":""}],"abstract":"Reinforcement learning algorithms typically require too many `trial-and-error' experiences before reaching a desirable behaviour. A considerable amount of ongoing research is focused on speeding up this learning process by using external knowledge. We contribute in several ways, proposing novel approaches to transfer learning and learning from demonstration, as well as an ensemble approach to combine knowledge from various sources.","doi":null,"url":"https://ijcai.org/proceedings/2015/621","pdf":"https://ijcai.org/proceedings/2015/0621.pdf","markdown":"https://ijcai.org/proceedings/2015/621.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/621","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Doctoral Consortium","track":"Doctoral Consortium","number":621,"pages":{"first":4347,"last":4347},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}