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Abhishek Gupta

1995–2026 年に発表

667
論文数
34,156
被引用数
88
h 指数
384
i10 指数

被引用数

Abhishek Gupta の年別被引用数1966 年: 被引用 1 件1979 年: 被引用 1 件1981 年: 被引用 1 件1992 年: 被引用 1 件1995 年: 被引用 2 件1996 年: 被引用 4 件1997 年: 被引用 3 件1998 年: 被引用 4 件1999 年: 被引用 2 件2000 年: 被引用 2 件2001 年: 被引用 2 件2002 年: 被引用 3 件2003 年: 被引用 10 件2004 年: 被引用 25 件2005 年: 被引用 57 件2006 年: 被引用 66 件2007 年: 被引用 78 件2008 年: 被引用 81 件2009 年: 被引用 101 件2010 年: 被引用 81 件2011 年: 被引用 88 件2012 年: 被引用 114 件2013 年: 被引用 124 件2014 年: 被引用 188 件2015 年: 被引用 199 件2016 年: 被引用 354 件2017 年: 被引用 451 件2018 年: 被引用 599 件2019 年: 被引用 1,191 件2020 年: 被引用 1,573 件2021 年: 被引用 2,205 件2022 年: 被引用 2,241 件2023 年: 被引用 2,570 件2024 年: 被引用 2,973 件2025 年: 被引用 3,129 件2026 年: 被引用 1,316 件2027 年: 被引用 1 件1967〜1978 年は被引用が無いため表示していません1980 年は被引用が無いため表示していません1982〜1991 年は被引用が無いため表示していません1993〜1994 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 3,722 件、この内訳の 23.6%アメリカ合衆国: 引用元論文 3,004 件、この内訳の 19%イギリス: 引用元論文 813 件、この内訳の 5.1%インド: 引用元論文 806 件、この内訳の 5.1%ドイツ: 引用元論文 579 件、この内訳の 3.7%カナダ: 引用元論文 497 件、この内訳の 3.1%オーストラリア: 引用元論文 439 件、この内訳の 2.8%イタリア: 引用元論文 379 件、この内訳の 2.4%韓国: 引用元論文 370 件、この内訳の 2.3%日本: 引用元論文 362 件、この内訳の 2.3%シンガポール: 引用元論文 361 件、この内訳の 2.3%フランス: 引用元論文 359 件、この内訳の 2.3%
0%23.6%その他 26%

機関

分野

  • Computer Science54.5%
  • Engineering22.6%
  • Medicine7.1%
  • Biochemistry, Genetics and Molecular Biology2.4%
  • Materials Science2%
  • Decision Sciences1.9%
  • その他9.5%

トピック

  • Reinforcement Learning in Robotics7.5%
  • Robot Manipulation and Learning4%
  • Advanced Multi-Objective Optimization Algorithms2.8%
  • Metaheuristic Optimization Algorithms Research2.7%
  • Multimodal Machine Learning Applications2.1%
  • Evolutionary Algorithms and Applications2%
  • その他78.9%

共著者

全論文

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  1. Soft Actor-Critic Algorithms and Applications

    著者: Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, Sergey Levine - arXiv (Cornell University), CoRR 2018 被引用: 2,198

  2. DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

    著者: Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham P. Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Walke, Blake Wulfe, Ted Xiao, Jonathan Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, Jensen Gao, Guizilini, Vitor, David Herrera, Minho Heo, Kyle Hsu, Jiaheng Hu, Irshad, Muhammad Zubair, Donovon Jackson, Charlotte Le, Yunshuang Li, Kevin Lin, Roy Lin, Zehan Ma, Abhiram Maddukuri, Suvir Mirchandani, Daniel Morton, Tony Nguyen, Abigail O’Neill, Rosario Scalise, Derick Seale, Victor Son, Stephen Tian, Emi Tran, Andrew E. Wang, Yilin Wu, Annie Xie, Jingyun Yang, Patrick Yin, Yunchu Zhang, Osbert Bastani, Glen Berseth, Jeannette Bohg, Ken Goldberg, Abhinav Gupta, Abhishek Gupta, Dinesh Jayaraman, Joseph J. Lim, Jitendra Malik, Roberto Martín-Martín, Subramanian Ramamoorthy, Dorsa Sadigh, Shuran Song, Jiajun Wu, Michael C. Yip, Yuke Zhu, Thomas Kollar, Sergey Levine ほか 1 名 - arXiv (Cornell University), CoRR 2024 被引用: 522

  3. Accelerating Online Reinforcement Learning with Offline Datasets

    著者: Ashvin Nair, Abhishek Gupta, Murtaza Dalal, Sergey Levine - arXiv (Cornell University), CoRR 2020 被引用: 546

  4. Multifactorial Evolution: Toward Evolutionary Multitasking

    著者: Abhishek Gupta, Yew-Soon Ong, Liang Feng - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2015 被引用: 960

  5. Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

    著者: Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, John Schulman, Emanuel Todorov, Sergey Levine - CoRR 2017 被引用: 456

  6. AI Art and its Impact on Artists

    著者: Harry H. Jiang, Lauren Brown, Jessica Cheng, Mehtab Khan, Abhishek Gupta, Deja Workman, Alex Hanna, Johnathan Flowers, Timnit Gebru - AAAI/ACM Conference on AI, AIES 2023 被引用: 233

  7. Diversity is All You Need: Learning Skills without a Reward Function

    著者: Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz, Sergey Levine - ICLR (Poster) 2019 被引用: 1,306

  8. Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration

    著者: A. O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alex Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine W. Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jae‐Hyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu ほか 179 名 - IEEE International Conference on Robotics and Automation (ICRA) 2024 被引用: 149

  9. Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II

    著者: Kavitesh Kumar Bali, Yew-Soon Ong, Abhishek Gupta, Puay Siew Tan - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2019 被引用: 421

  10. Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues

    著者: Abhishek Gupta, Alagan Anpalagan, Ling Guan, Ahmed Shaharyar Khwaja - Array 2021 被引用: 559

  11. Evolutionary Multitasking via Explicit Autoencoding

    著者: Liang Feng, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Yew-Soon Ong, Kay Chen Tan, A. K. Qin - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2018 被引用: 427

  12. Multiobjective Multifactorial Optimization in Evolutionary Multitasking

    著者: Abhishek Gupta, Yew-Soon Ong, Liang Feng, Kay Chen Tan - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2016 被引用: 451

  13. DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

    著者: Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, Jensen Gao, David Antonio Herrera, Minho Heo, Kyle Hsu, Jiaheng Hu, Donovon Jackson, Charlotte Le, Yunshuang Li, Roy Lin, Zehan Ma, Abhiram Maddukuri, Suvir Mirchandani, Daniel Morton, Tony Nguyen, Abigail O'Neill, Rosario Scalise, Derick Seale, Victor Son, Stephen Tian, Emi Tran, Andrew E. Wang, Yilin Wu, Annie Xie, Jingyun Yang, Patrick Yin, Yunchu Zhang, Osbert Bastani, Glen Berseth, Jeannette Bohg, Ken Goldberg, Abhinav Gupta, Abhishek Gupta, Dinesh Jayaraman, Joseph J. Lim, Jitendra Malik, Roberto Martín-Martín, Subramanian Ramamoorthy, Dorsa Sadigh, Shuran Song, Jiajun Wu, Michael C. Yip, Yuke Zhu, Thomas Kollar, Sergey Levine, Chelsea Finn - Robotics: Science and Systems XX 2024 被引用: 116

  14. Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

    著者: Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman - CoRL 2019 被引用: 207

  15. Insights on Transfer Optimization: Because Experience is the Best Teacher

    著者: Abhishek Gupta, Yew-Soon Ong, Liang Feng - IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Trans. Emerg. Top. Comput. Intell. 2017 被引用: 372

  16. Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

    著者: Marcel Torne, Anthony Simeonov, Zechu Li, April Chan, Tao Chen, Abhishek Gupta, Pulkit Agrawal - arXiv (Cornell University), CoRR 2024 被引用: 92

  17. GenAug: Retargeting behaviors to unseen situations via Generative Augmentation

    著者: Zoey Qiuyu Chen, Shosuke C. Kiami, Abhishek Gupta, Vikash Kumar - Robotics: Science and Systems XIX 2023 被引用: 96

  18. Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem

    著者: Liang Feng, Yuxiao Huang, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Ke Tang, Kay Chen Tan - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2020 被引用: 210

  19. Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

    著者: Chuning Zhu, Raymond Yu, Siyuan Feng, Benjamin Burchfiel, Paarth Shah, Abhishek Gupta - Robotics: Science and Systems XXI 2025 被引用: 76

  20. Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II

    著者: Kavitesh Kumar Bali, Abhishek Gupta, Yew-Soon Ong, Puay Siew Tan - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2020 被引用: 183

  21. URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images

    著者: Zoey Qiuyu Chen, Aaron Walsman, Marius Memmel, Kaichun Mo, Alex Fang, Karthikeya Vemuri, Alan Wu, Dieter Fox, Abhishek Gupta - arXiv (Cornell University), CoRR 2024 被引用: 72

  22. Guiding Pretraining in Reinforcement Learning with Large Language Models

    著者: Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas - ICML 2023 被引用: 277

  23. HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation

    著者: Yi Li, Deng, Yuquan, Jesse Zhang, Joel Jang, Marius Memme, Raymond Yu, Caelan Reed Garrett, Fábio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal - ICLR 2025 被引用: 132

  24. Steering Your Diffusion Policy with Latent Space Reinforcement Learning

    著者: Andrew Wagenmaker, Mitsuhiko Nakamoto, Yunchu Zhang, Seohong Park, Waleed Yagoub, Anusha Nagabandi, Abhishek Gupta, Sergey Levine - ArXiv.org, CoRR 2025 被引用: 66