Marvin Zhang

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Sergey LevineUC Berkeley, Physical IntelligenceEmail yang diverifikasi di eecs.berkeley.edu
Chelsea FinnStanford University, Physical IntelligenceEmail yang diverifikasi di cs.stanford.edu
Pieter AbbeelUC Berkeley | CovariantEmail yang diverifikasi di cs.berkeley.edu
Sang Michael XieMeta GenAIEmail yang diverifikasi di cs.stanford.edu
Justin FuUC BerkeleyEmail yang diverifikasi di berkeley.edu
Pang Wei KohUniversity of WashingtonEmail yang diverifikasi di cs.washington.edu
Shiori SagawaPhD Student, Stanford UniversityEmail yang diverifikasi di stanford.edu
Michael JannerOpenAIEmail yang diverifikasi di openai.com
Laura SmithUC BerkeleyEmail yang diverifikasi di berkeley.edu
Vytas SunSpiralSenior Robotics Researcher, NASA AmesEmail yang diverifikasi di nasa.gov
Xinyang GengGoogleEmail yang diverifikasi di google.com
Jonathan BruceTechnical Lead of Tensegrity Research within the Intelligent Robotics Group at NASA's Ames ResearchEmail yang diverifikasi di nasa.gov
Massimo VespignaniKBR Robotics Engineer at NASA Ames Research CenterEmail yang diverifikasi di nasa.gov
Ken CaluwaertsGoogle DeepMindEmail yang diverifikasi di caluwaerts.eu
Sharad VikramGoogleEmail yang diverifikasi di google.com
Zoe McCarthyUniversity of California BerkeleyEmail yang diverifikasi di eecs.berkeley.edu
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceEmail yang diverifikasi di google.com
Gaurav SukhatmeProfessor, Departments of CS and ECE, USCEmail yang diverifikasi di usc.edu
Yevgen ChebotarRobot AI at FigureEmail yang diverifikasi di figure.ai
Karol HausmanPhysical Intelligence, StanfordEmail yang diverifikasi di physicalintelligence.company

Ikuti

Marvin Zhang

UC Berkeley

Email yang diverifikasi di eecs.berkeley.edu - Beranda

Machine Learning Deep Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
GPT-4 technical report OpenAI arXiv, 2023	10431*	2023
Wilds: A benchmark of in-the-wild distribution shifts PW Koh, S Sagawa, H Marklund, SM Xie, M Zhang, A Balsubramani, ... International conference on machine learning, 5637-5664, 2021	1568	2021
When to trust your model: Model-based policy optimization M Janner, J Fu, M Zhang, S Levine Advances in Neural Information Processing Systems (NeurIPS), 2019	1122	2019
Adaptive risk minimization: Learning to adapt to domain shift M Zhang, H Marklund, N Dhawan, A Gupta, S Levine, C Finn Advances in Neural Information Processing Systems 34, 23664-23678, 2021	331*	2021
Memo: Test time robustness via adaptation and augmentation M Zhang, S Levine, C Finn Advances in neural information processing systems 35, 38629-38642, 2022	315	2022
Solar: Deep structured representations for model-based reinforcement learning M Zhang, S Vikram, L Smith, P Abbeel, M Johnson, S Levine International conference on machine learning, 7444-7453, 2019	312	2019
Combining model-based and model-free updates for trajectory-centric reinforcement learning Y Chebotar, K Hausman, M Zhang, G Sukhatme, S Schaal, S Levine International conference on machine learning, 703-711, 2017	223	2017
Gpt-4o system card A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ... arXiv preprint arXiv:2410.21276, 2024	208	2024
Avid: Learning multi-stage tasks via pixel-level translation of human videos L Smith, N Dhawan, M Zhang, P Abbeel, S Levine Robotics: Science and Systems (RSS), 2019	168	2019
Deep reinforcement learning for tensegrity robot locomotion M Zhang, X Geng, J Bruce, K Caluwaerts, M Vespignani, V SunSpiral, ... 2017 IEEE international conference on robotics and automation (ICRA), 634-641, 2017	145	2017
Learning deep neural network policies with continuous memory states M Zhang, Z McCarthy, C Finn, S Levine, P Abbeel 2016 IEEE international conference on robotics and automation (ICRA), 520-527, 2016	106	2016
Guided policy search code implementation, 2016 C Finn, M Zhang, J Fu, X Tan, Z McCarthy, E Scharff, S Levine Software available from rll. berkeley. edu/gps, 2016	29	2016
Adaptation Based Approaches to Distribution Shift Problems MM Zhang University of California, Berkeley, 2021	2	2021

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