{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T22:57:42Z","timestamp":1752101862576,"version":"3.28.0"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,24]]},"DOI":"10.1109\/iros45743.2020.9340956","type":"proceedings-article","created":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T14:49:56Z","timestamp":1615819796000},"page":"5364-5371","source":"Crossref","is-referenced-by-count":24,"title":["robo-gym \u2013 An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots"],"prefix":"10.1109","author":[{"given":"Matteo","family":"Lucchi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Friedemann","family":"Zindler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephan","family":"Muhlbacher-Karrer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Horst","family":"Pichler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"DeepMind Control Suite","year":"2018","author":"tassa","key":"ref33"},{"key":"ref32","first-page":"693","article-title":"A distributional perspective on reinforcement learning","volume":"1","author":"bellemare","year":"2017","journal-title":"International Conference on Machine Learning ICML 2017"},{"key":"ref31","first-page":"1","article-title":"Distributed prioritized experience replay","author":"horgan","year":"2018","journal-title":"6th International Conference on Learning Representations ICLR 2018 - Conference Track Proceedings"},{"key":"ref30","first-page":"1","article-title":"Distributed distributional deterministic policy gradients","author":"barth-maron","year":"2018","journal-title":"6th International Conference on Learning Representations ICLR 2018 - Conference Track Proceedings"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202133"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460528"},{"key":"ref12","article-title":"Sim-to-Real Reinforcement Learning for Deformable Object Manipulation","author":"matas","year":"2018","journal-title":"CoRL"},{"article-title":"Reinforcement Learning for Pivoting Task","year":"2017","author":"antonova","key":"ref13"},{"article-title":"Solving Rubik's Cube with a Robot Hand","year":"2019","author":"akkaya","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202134"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2899918"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461113"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202312"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794134"},{"journal-title":"Reinforcement Learning An Introduction","year":"2018","author":"sutton","key":"ref28"},{"article-title":"Achieving Gentle Manipulation with Deep Reinforcement Learning","year":"0","author":"huang","key":"ref4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2004.1389727"},{"article-title":"Data-efficient Deep Reinforcement Learning for Dexterous Manipulation","year":"2017","author":"popov","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593894"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"456","DOI":"10.21105\/joss.00456","article-title":"ros_control: A generic and simple control framework for ROS","volume":"1","author":"chitta","year":"2017","journal-title":"Journal ofOpen Source Software"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989384"},{"key":"ref8","first-page":"262","article-title":"Sim-to-Real Robot Learning from Pixels with Progressive Nets","author":"rusu","year":"2017","journal-title":"Proceedings of the 1st Annual Conference on Robot Learning"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7138994"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989385"},{"key":"ref9","first-page":"6001","article-title":"Sim-to-real transfer learning using robustified controllers in robotic tasks involving complex dynamics","volume":"2019 may","author":"van baar","year":"2019","journal-title":"Proceedings - IEEE International Conference on Robotics and Automation"},{"article-title":"Stable baselines","year":"2018","author":"hill","key":"ref1"},{"article-title":"OpenAI Gym","year":"2016","author":"brockman","key":"ref20"},{"article-title":"DeepMind Control Suite","year":"2018","author":"tassa","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386109"},{"article-title":"RLBench: The Robot Learning Benchmark & Learning Environment","year":"2019","author":"james","key":"ref24"},{"key":"ref23","article-title":"SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark","author":"fan","year":"2018","journal-title":"Conference on Robot Learning"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2013.6696520"},{"key":"ref25","first-page":"1","article-title":"gym-gazebo2, a toolkit for reinforcement learning using ROS 2 and Gazebo","author":"lopez","year":"2019"}],"event":{"name":"2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2020,10,24]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2021,1,24]]}},"container-title":["2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9340668\/9340635\/09340956.pdf?arnumber=9340956","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:57:47Z","timestamp":1656453467000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9340956\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,24]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/iros45743.2020.9340956","relation":{},"subject":[],"published":{"date-parts":[[2020,10,24]]}}}