Abhinav Muraleedharan

I am a graduate student at the University of Toronto. At UofT, I work under the supervision of Prof. Nathan Wiebe and Prof. Roger Grosse. My research interests span Quantum Algorithms, Reinforcment Learning, and Alignment of large language models.

I invented Score-life programming.

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My reinforcement learning research focuses on the development of efficient reinforcement learning algorithms for training generally intelligent agents. I also work on developing efficient quantum algorithms for training large scale machine learning models.

In this paper, I introduced Score-life programming, a novel theoretical approach for solving reinforcement learning problems. In contrast with classical dynamic programming-based methods, the methods in this work can search over non-stationary policy functions, and can directly compute optimal infinite horizon action sequences from a given state.

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