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Abhishek Gupta

Active 1995–2026

667
Papers
34,156
Citations
88
h-index
384
i10-index

Citations

Citations per year for Abhishek Gupta1966: 1 citations1979: 1 citations1981: 1 citations1992: 1 citations1995: 2 citations1996: 4 citations1997: 3 citations1998: 4 citations1999: 2 citations2000: 2 citations2001: 2 citations2002: 3 citations2003: 10 citations2004: 25 citations2005: 57 citations2006: 66 citations2007: 78 citations2008: 81 citations2009: 101 citations2010: 81 citations2011: 88 citations2012: 114 citations2013: 124 citations2014: 188 citations2015: 199 citations2016: 354 citations2017: 451 citations2018: 599 citations2019: 1,191 citations2020: 1,573 citations2021: 2,205 citations2022: 2,241 citations2023: 2,570 citations2024: 2,973 citations2025: 3,129 citations2026: 1,316 citations2027: 1 citations1967–1978: no citations, so these years are not shown1980: no citations, so this year is not shown1982–1991: no citations, so these years are not shown1993–1994: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,722 citing papers, 23.6% of this breakdownUnited States: 3,004 citing papers, 19% of this breakdownUnited Kingdom: 813 citing papers, 5.1% of this breakdownIndia: 806 citing papers, 5.1% of this breakdownGermany: 579 citing papers, 3.7% of this breakdownCanada: 497 citing papers, 3.1% of this breakdownAustralia: 439 citing papers, 2.8% of this breakdownItaly: 379 citing papers, 2.4% of this breakdownSouth Korea: 370 citing papers, 2.3% of this breakdownJapan: 362 citing papers, 2.3% of this breakdownSingapore: 361 citing papers, 2.3% of this breakdownFrance: 359 citing papers, 2.3% of this breakdown
0%23.6%Other 26%

Institutions

Fields

  • Computer Science54.5%
  • Engineering22.6%
  • Medicine7.1%
  • Biochemistry, Genetics and Molecular Biology2.4%
  • Materials Science2%
  • Decision Sciences1.9%
  • Other9.5%

Topics

  • 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%
  • Other78.9%

Coauthors

All papers

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  1. Soft Actor-Critic Algorithms and Applications

    Authors: 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 cited by 2,198

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

    Authors: 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 and 1 more - arXiv (Cornell University), CoRR 2024 cited by 522

  3. Accelerating Online Reinforcement Learning with Offline Datasets

    Authors: Ashvin Nair, Abhishek Gupta, Murtaza Dalal, Sergey Levine - arXiv (Cornell University), CoRR 2020 cited by 546

  4. Multifactorial Evolution: Toward Evolutionary Multitasking

    Authors: Abhishek Gupta, Yew-Soon Ong, Liang Feng - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2015 cited by 960

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

    Authors: Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, John Schulman, Emanuel Todorov, Sergey Levine - CoRR 2017 cited by 456

  6. AI Art and its Impact on Artists

    Authors: 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 cited by 233

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

    Authors: Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz, Sergey Levine - ICLR (Poster) 2019 cited by 1,306

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

    Authors: 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 and 179 more - IEEE International Conference on Robotics and Automation (ICRA) 2024 cited by 149

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

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

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

    Authors: Abhishek Gupta, Alagan Anpalagan, Ling Guan, Ahmed Shaharyar Khwaja - Array 2021 cited by 559

  11. Evolutionary Multitasking via Explicit Autoencoding

    Authors: 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 cited by 427

  12. Multiobjective Multifactorial Optimization in Evolutionary Multitasking

    Authors: Abhishek Gupta, Yew-Soon Ong, Liang Feng, Kay Chen Tan - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2016 cited by 451

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

    Authors: 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 cited by 116

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

    Authors: Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman - CoRL 2019 cited by 207

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

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

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

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

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

    Authors: Zoey Qiuyu Chen, Shosuke C. Kiami, Abhishek Gupta, Vikash Kumar - Robotics: Science and Systems XIX 2023 cited by 96

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

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

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

    Authors: Chuning Zhu, Raymond Yu, Siyuan Feng, Benjamin Burchfiel, Paarth Shah, Abhishek Gupta - Robotics: Science and Systems XXI 2025 cited by 76

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

    Authors: Kavitesh Kumar Bali, Abhishek Gupta, Yew-Soon Ong, Puay Siew Tan - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2020 cited by 183

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

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

  22. Guiding Pretraining in Reinforcement Learning with Large Language Models

    Authors: Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas - ICML 2023 cited by 277

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

    Authors: 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 cited by 132

  24. Steering Your Diffusion Policy with Latent Space Reinforcement Learning

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