Ryan C. Julian

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Karol HausmanGoogle Brain, StanfordVerified email at google.com
Zhanpeng HeColumbia UniversityVerified email at cs.columbia.edu
Chelsea FinnStanford University, GoogleVerified email at cs.stanford.edu
Sergey LevineUC Berkeley, GoogleVerified email at eecs.berkeley.edu
Gaurav SukhatmeProfessor and Fletcher Jones Endowed Chair, Departments of Computer Science and ElectricalVerified email at usc.edu
Tianhe YuStanford UniversityVerified email at cs.stanford.edu
Deirdre QuillenUC BerkeleyVerified email at berkeley.edu
Ronald S. FEARINGProfessor of EECS, UC BerkeleyVerified email at berkeley.edu
Joseph J. LimAssociate Professor at KAISTVerified email at csail.mit.edu
Eric HeidenNVIDIAVerified email at usc.edu
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerified email at google.com
Pieter AbbeelUC Berkeley | Covariant.AIVerified email at cs.berkeley.edu
Duncan HaldaneJITX, University of California at BerkeleyVerified email at berkeley.edu
Benjamin EysenbachCMU, GoogleVerified email at google.com
Yevgen ChebotarGoogle BrainVerified email at google.com
Ted XiaoGoogle Brain, UC BerkeleyVerified email at google.com
Jacob VarleyRobotics at GoogleVerified email at google.com
Dmitry KalashnikovGoogleVerified email at google.com
Humphrey HuRobotics Software Engineer, Anki Inc.Verified email at cmu.edu
Yao LuGoogleVerified email at google.com

Ryan C. Julian

Google Brain

Verified email at google.com - Homepage

Robotics Machine Learning Reinforcement Learning


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Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning T Yu, D Quillen, Z He, R Julian, K Hausman, C Finn, S Levine Conference on robot learning, 1094-1100, 2020	318	2020
Dynamic, free-space user interactions for machine control R Bedikian, J Marsden, K Mertens, D Holz, M Sills, M Perez, GA Hare, ... US Patent 9,459,697, 2016	193	2016
Performance analysis and terrain classification for a legged robot over rough terrain FL Garcia Bermudez, RC Julian, DW Haldane, P Abbeel, RS Fearing Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International …, 2012	80	2012
Cooperative control and modeling for narrow passage traversal with an ornithopter MAV and lightweight ground station RC Julian, CJ Rose, H Hu, RS Fearing Proceedings of the 2013 international conference on Autonomous agents and …, 2013	34	2013
Actionable models: Unsupervised offline reinforcement learning of robotic skills Y Chebotar, K Hausman, Y Lu, T Xiao, D Kalashnikov, J Varley, A Irpan, ... arXiv preprint arXiv:2104.07749, 2021	27	2021
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning R Julian, B Swanson, GS Sukhatme, S Levine, C Finn, K Hausman Conference on Robot Learning, 2020	26*	2020
Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing Z He, R Julian, E Heiden, H Zhang, JJ Lim, S Schaal, G Sukhatme, ...	14*	2018
Do as i can, not as i say: Grounding language in robotic affordances M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, ... arXiv preprint arXiv:2204.01691, 2022	12	2022
Scaling simulation-to-real transfer by learning composable robot skills R Julian, E Heiden, Z He, H Zhang, S Schaal, J Lim, G Sukhatme, ... International Symposium on Experimental Robotics, 267-279, 2018	7	2018
Method for synchronizing operation of systems RC Julian, HE Hongyuan, DS Holz US Patent 9,348,419, 2016	7	2016
Meta-world: a benchmark and evaluation for multi-task and meta-reinforcement learning (2019) T Yu, D Quillen, Z He, R Julian, K Hausman, S Levine, C Finn URL https://github. com/rlworkgroup/metaworld, 0	5
Scaling simulation-to-real transfer by learning a latent space of robot skills RC Julian, E Heiden, Z He, H Zhang, S Schaal, JJ Lim, GS Sukhatme, ... The International Journal of Robotics Research 39 (10-11), 1259-1278, 2020	3	2020
Auto-conditioned recurrent mixture density networks for complex trajectory generation H Zhang, E Heiden, R Julian, Z He, JJ Lim, GS Sukhatme	3	2018
A Simple Approach to Continual Learning by Transferring Skill Parameters KR Zentner, R Julian, U Puri, Y Zhang, GS Sukhatme arXiv preprint arXiv:2110.10255, 2021		2021
Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning KR Zentner, R Julian, U Puri, Y Zhang, G Sukhatme arXiv preprint arXiv:2106.13237, 2021		2021
Actionable Models: Unsupervised Offline Learning of Robotic Skills A Irpan, B Eysenbach, C Finn, D Kalashnikov, J Varley, K Hausman, ...		2021

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