{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T11:15:27Z","timestamp":1761218127358,"version":"3.28.0"},"reference-count":18,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/iros.2018.8594017","type":"proceedings-article","created":{"date-parts":[[2019,1,23]],"date-time":"2019-01-23T21:33:30Z","timestamp":1548279210000},"page":"556-561","source":"Crossref","is-referenced-by-count":5,"title":["A Bio-inspired Reinforcement Learning Rule to Optimise Dynamical Neural Networks for Robot Control"],"prefix":"10.1109","author":[{"given":"Tianqi","family":"Wei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Barbara","family":"Webb","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2013.10.013"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1109818109"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/nrn2373"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pbio.1000136"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.08.006"},{"journal-title":"OpenAI Gym","year":"2016","author":"brockman","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/S0006-3495(61)86902-6"},{"journal-title":"Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control","year":"2017","author":"zhang","key":"ref17"},{"key":"ref18","first-page":"1","volume":"34141","author":"han","year":"2017","journal-title":"Multi-Batch Experience Replay for Fast Convergence of Continuous Action Control"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1080\/01691864.2017.1365009"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2008.03.014"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICARSC.2017.7964070"},{"journal-title":"Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates","year":"2016","author":"gu","key":"ref5"},{"key":"ref8","first-page":"623","article-title":"Reinforcement Learning for a CPG-driven Biped Robot","author":"mori","year":"2004","journal-title":"AAAI 2004"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1523\/ENEURO.0069-15.2015"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-0255(98)10098-1"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1989.118714"},{"key":"ref9","volume":"25","author":"izhikevich","year":"2007","journal-title":"Dynamical systems in neuroscience"}],"event":{"name":"2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2018,10,1]]},"location":"Madrid","end":{"date-parts":[[2018,10,5]]}},"container-title":["2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8574473\/8593358\/08594017.pdf?arnumber=8594017","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T00:17:08Z","timestamp":1598228228000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8594017\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/iros.2018.8594017","relation":{},"subject":[],"published":{"date-parts":[[2018,10]]}}}