Kushagra is a PhD student in the Electrical and Computer Engineering department at UT Austin where he explores problems at the intersection of game theory, machine learning, and optimization. He is interested in developing rigorous theoretical frameworks for problems that are inspired by real-world challenges. His work to date has found applications in aligning generative AI models, adversarial learning, multi-task learning, reinforcement learning and multi-agent planning/learning problems with heterogeneous agent information.

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