{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T13:14:24Z","timestamp":1771679664594,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,3,17]],"date-time":"2020-03-17T00:00:00Z","timestamp":1584403200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,3,17]]},"DOI":"10.1145\/3381755.3381766","type":"proceedings-article","created":{"date-parts":[[2020,6,18]],"date-time":"2020-06-18T23:09:51Z","timestamp":1592521791000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Relational Neurogenesis for Lifelong Learning Agents"],"prefix":"10.1145","author":[{"given":"Tej","family":"Pandit","sequence":"first","affiliation":[{"name":"Neuromorphic AI Lab, University of Texas at San Antonio, San Antonio, TX"}]},{"given":"Dhireesha","family":"Kudithipudi","sequence":"additional","affiliation":[{"name":"Neuromorphic AI Lab, University of Texas at San Antonio, San Antonio, TX"}]}],"member":"320","published-online":{"date-parts":[[2020,6,18]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0605177103"},{"key":"e_1_3_2_1_2_1","volume-title":"Approximation by superpositions of a sigmoidal function. Mathematics of control, signals and systems 2, 4","author":"Cybenko George","year":"1989"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7965898"},{"key":"e_1_3_2_1_4_1","volume-title":"Pathnet: Evolution channels gradient descent in super neural networks. arXiv preprint arXiv:1701.08734","author":"Fernando Chrisantha","year":"2017"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.15-07-05249.1995"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"e_1_3_2_1_7_1","volume-title":"Learning without forgetting","author":"Li Zhizhong","year":"2017"},{"key":"e_1_3_2_1_8_1","volume-title":"Darts: Differentiable architecture search. arXiv preprint arXiv:1806.09055","author":"Liu Hanxiao","year":"2018"},{"key":"e_1_3_2_1_9_1","unstructured":"David Lopez-Paz etal 2017. Gradient episodic memory for continual learning. In Advances in Neural Information Processing Systems. 6467--6476.  David Lopez-Paz et al. 2017. Gradient episodic memory for continual learning. In Advances in Neural Information Processing Systems. 6467--6476."},{"key":"e_1_3_2_1_10_1","volume-title":"Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602","author":"Mnih Volodymyr","year":"2013"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2463372.2463459"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007331723572"},{"key":"e_1_3_2_1_14_1","volume-title":"Progressive neural networks. arXiv preprint arXiv:1606.04671","author":"Rusu Andrei A","year":"2016"},{"key":"e_1_3_2_1_15_1","volume-title":"Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347","author":"Schulman John","year":"2017"},{"key":"e_1_3_2_1_16_1","volume-title":"Razvan Pascanu, and Raia Hadsell.","author":"Schwarz Jonathan","year":"2018"},{"key":"e_1_3_2_1_17_1","volume-title":"H. Sayama, J. Rieffel, S. Risi, R. Doursat, & H","author":"Soros Lisa B"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2013.05.002"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2002.1004508"},{"key":"e_1_3_2_1_20_1","unstructured":"Unity Engine. [n.d.]. Unity3D. https:\/\/unity3d.com\/  Unity Engine. [n.d.]. Unity3D. https:\/\/unity3d.com\/"},{"key":"e_1_3_2_1_21_1","unstructured":"Vinicius Zambaldi David Raposo Adam Santoro Victor Bapst Yujia Li Igor Babuschkin Karl Tuyls David Reichert Timothy Lillicrap Edward Lockhart etal 2018. Relational Deep Reinforcement Learning. arXiv preprint arXiv:1806.01830 (2018).  Vinicius Zambaldi David Raposo Adam Santoro Victor Bapst Yujia Li Igor Babuschkin Karl Tuyls David Reichert Timothy Lillicrap Edward Lockhart et al. 2018. Relational Deep Reinforcement Learning. arXiv preprint arXiv:1806.01830 (2018)."}],"event":{"name":"NICE '20: Neuro-inspired Computational Elements Workshop","location":"Heidelberg Germany","acronym":"NICE '20","sponsor":["INTEL Intel Corporation","IBM IBM"]},"container-title":["Proceedings of the Neuro-inspired Computational Elements Workshop"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3381755.3381766","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3381755.3381766","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:33:07Z","timestamp":1750199587000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3381755.3381766"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,17]]},"references-count":20,"alternative-id":["10.1145\/3381755.3381766","10.1145\/3381755"],"URL":"https:\/\/doi.org\/10.1145\/3381755.3381766","relation":{},"subject":[],"published":{"date-parts":[[2020,3,17]]},"assertion":[{"value":"2020-06-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}