Nikunj Gupta is a PhD candidate at USC with 11 years of experience exploring goal-directed learning in multi-agent systems, specializing in reinforcement learning, deep learning, and AI. His research focuses on how unsupervised interactions between learning agents can reveal ingredients of intelligence and inform both machine and human cognition. With an academic foundation from IIIT Bangalore and an MS from NYU Tandon, he blends rigorous theory with practical experimentation. Based in Los Angeles, he balances lab work with badminton and nature walks, and welcomes coffee chats about AI and learning paradigms.
10 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Southern California
Master of Science - MS, Master of Science - MS at NYU Tandon School of Engineering
International Institute of Information Technology Bangalore
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