{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T17:28:23Z","timestamp":1730222903301,"version":"3.28.0"},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,13]],"date-time":"2020-10-13T00:00:00Z","timestamp":1602547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,13]],"date-time":"2020-10-13T00:00:00Z","timestamp":1602547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,13]],"date-time":"2020-10-13T00:00:00Z","timestamp":1602547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,13]]},"DOI":"10.1109\/gcce50665.2020.9291872","type":"proceedings-article","created":{"date-parts":[[2020,12,21]],"date-time":"2020-12-21T20:16:46Z","timestamp":1608581806000},"page":"113-116","source":"Crossref","is-referenced-by-count":1,"title":["Rainbow with Episodic Memory in Deep Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Daiki","family":"Kuyoshi","sequence":"first","affiliation":[]},{"given":"Toi","family":"Tsuneda","sequence":"additional","affiliation":[]},{"given":"Satoshi","family":"Yamane","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","article-title":"Prioritized experience replay","author":"schaul","year":"2015","journal-title":"arXiv preprint arXiv 1511 05952"},{"key":"ref3","first-page":"2094","article-title":"Deep reinforcement learning with double q-learning","author":"van hasselt","year":"2016","journal-title":"In AAAI"},{"key":"ref10","first-page":"10567","article-title":"Fast deep reinforcement learning using online adjustments from the past","author":"hansen","year":"2018","journal-title":"In Advances in Neural Information Processing Systems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/BF00115009"},{"key":"ref11","article-title":"OpenAI Gym","author":"brockman","year":"2016","journal-title":"arXiv 1606 01540 [cs]"},{"key":"ref5","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","author":"wang","year":"2016","journal-title":"In Proceedings of The 33rd International Conference on Machine Learning"},{"key":"ref12","article-title":"Chainerrl: A deep reinforcement learning library","author":"fujita","year":"2019","journal-title":"In Workshop on Deep Reinforcement Learning at the 33rd Conference on Neural Information Processing Systems"},{"key":"ref8","first-page":"449","article-title":"A distributional perspective on reinforcement learning","volume":"70","author":"bellemare","year":"2017","journal-title":"In Proceedings of the 34th International Conference on Machine Learning"},{"key":"ref7","article-title":"Noisy networks for exploration","author":"fortunato","year":"2017","journal-title":"arXiv preprint arXiv 1706 10295"},{"key":"ref2","article-title":"Rainbow: Combining improvements in deep reinforcement learning","author":"hessel","year":"2017","journal-title":"arXiv preprint arXiv 1710 02298"},{"key":"ref9","first-page":"889","article-title":"Hippocampal contributions to control: The third way","volume":"20","author":"lengyel","year":"2007","journal-title":"NeurIPS"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"}],"event":{"name":"2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)","start":{"date-parts":[[2020,10,13]]},"location":"Kobe, Japan","end":{"date-parts":[[2020,10,16]]}},"container-title":["2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9291702\/9291703\/09291872.pdf?arnumber=9291872","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T11:46:44Z","timestamp":1656330404000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9291872\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,13]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1109\/gcce50665.2020.9291872","relation":{},"subject":[],"published":{"date-parts":[[2020,10,13]]}}}