Started as an Applied Scientist Intern at Amazon. Excited to contribute and learn!
Rishabh Agrawal
I am a Ph.D. candidate in Electrical and Computer Engineering at the University of Southern California (USC), Los Angeles. I completed Master’s programs in both Computer Science and Electrical Engineering at USC in May 2025.
My research, under the supervision of Prof. Rahul Jain and Prof. Ashutosh Nayyar, focuses on reinforcement learning, with a particular emphasis on imitation learning and foundation models.
Previously, I worked as a Research Engineer at Samsung, where I applied deep reinforcement learning to address network-related challenges. During my undergraduate years, I worked with Prof. Sriparna Bandopadhyay at Indian Institue of Technology Guwahati on data augmentation using r-cyclic matrices. In Summer 2018, I interned under Prof. Richard James at University of Minnesota, Twin Cities, working on the mathematical modeling of light-induced phase transitions. In Summer 2017, I worked as an intern under the supervision of Prof. Frank Chung-Hoon Rhee at Hanyang University, focusing on estimating the fuzzifier parameter for alpha planes of General Type-2 Fuzzy Sets.
News
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May 25
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May 25
Awarded two MS degrees: MS in CS and MS in EE at USC. PhD Journey continues!
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Apr 25
Delivered a talk at 45th SoCal Control Workshop on "Offline Imitation Learning" at UCSD, San Diego, California.
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Feb 25
Paper titled "Conditional Kernel Imitation Learning for Continuous State Environments" accepted at 7th Annual Learning for Dynamics & Control Conference (L4DC 2025).
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Feb 25
Attended AAAI 2025 to present "Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning" in Philadelphia, USA.
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Dec 24
Paper titled "Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning" accepted at The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025).
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Dec 24
Attended NeurIPS 2024 to present "Policy Optimization for Strictly Batch Imitation Learning" in Vancouver, Canada.
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Nov 24
Awarded the Outstanding Poster Award at the 14th Annual Research Festival, University of Southern California for work on Strictly Batch Offline Imitation Learning.
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Sep 24
Paper titled "Policy Optimization for Strictly Batch Imitation Learning" accepted at Optimization for Machine Learning, Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024).
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Jan 24
Awarded the Graduate School Fellowship by the University of Southern California.
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Aug 23
Started serving as a Teaching Assistant for EE556: Stochastic Systems and Reinforcement Learning graduate course at the University of Southern California.
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Aug 23
Preprint of Paper titled "Conditional Kernel Imitation Learning for Continuous State Environments" available on ArXiV.
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Dec 22
Patent titled "Method and system for radio-resource scheduling in telecommunication-network" granted.
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Jan 22
Started my PhD journey at University of Southern California with a broad focus on Reinforcement Learning.
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Aug 20
Paper titled "A Reinforcement Learning Framework for QoS-Driven Radio Resource Scheduler" accepted at IEEE Global Communications Conference (Globecom) 2020.
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Sep 19
Attended LOD 2019 to present "CoPASample: A Heuristics Based Covariance Preserving Data Augmentation" in Siena, Italy.
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Jun 19
Started at Samsung Research as a Research Engineer in 6G Lab.
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Jun 19
Paper titled "CoPASample: A Heuristics Based Covariance Preserving Data Augmentation" accepted at The Fifth International Conference on Machine Learning, Optimization, and Data Science.
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May 19
Graduated from Indian Institute of Technology Guwahati with a B.Tech degree in Mathematics and Computing.
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May 18
Started my summer internship at University of Minnesota, Twin Cities.
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Mar 18
Paper titled "Determining the Optimal Fuzzifier Range for Alpha-Planes of General Type-2 Fuzzy Sets" accepted at IEEE International Conference on Fuzzy Systems 2018.
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May 17
Started my summer internship at Hanyang University.
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Jul 15
Started my undergraduate studies at Indian Institute of Technology Guwahati with focus on Mathematics, Computer Science, and Financial Engineering.
Contact
| rishabh.agrawal694 AT gmail DOT com; rishabha AT usc DOT edu | |
| 335, Hughes Aircraft Electrical Engineering Center, 3740 McClintock Ave, Los Angeles, CA 90089, United States |