CS 5325
Reinforcement Learning
From Markov decision processes and Q-learning to policy gradients and deep reinforcement learning. Theory meets hands-on work with Python and PyTorch.
Archived Fall 2025 syllabus Teaching at the intersection of mathematical foundations, computational thinking, and practical AI.
From Markov decision processes and Q-learning to policy gradients and deep reinforcement learning. Theory meets hands-on work with Python and PyTorch.
Archived Fall 2025 syllabus Turn messy, real-world data into a clear story. Develop practical analysis skills and build interactive dashboards with Python.
Course catalog Instructor of Record · Texas State University
Instructor of Record · Texas State University
Teaching Assistant · Brown University. Prepared course materials and analyzed optimization methods and mathematical formulations.
Louisiana Tech University. Delivered instruction to 64 students, held office hours, and administered assessments.
Louisiana Tech University. Led weekly computing laboratories and office hours; developed instructional videos for remote laboratory instruction.
ATPESC
Certificate I · Brown University
Interested in research collaboration or joining SPARKS Lab? I welcome conversations across computer science, mathematics, physics, and engineering.
Department of Computer Science · Texas State University
310D Comal · San Marcos, Texas 78666