Stanford University
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Mouhssine Rifaki
Graduate Visiting Researcher Student, Electrical Engineering
Current Research and Scholarly InterestsI work on sample complexity reduction in reinforcement learning by exploiting latent structure in Markov decision processes such as low-rank Q-functions, spectral gaps, and manifold geometry. My broader interests lie at the intersection of reinforcement learning, control theory, and multi-agent systems, with applications to autonomous driving and adaptive sensing.
