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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the concepts of Monte Carlo Tree Search (MCTS) and Alpha Zero, two key algorithms in deep reinforcement learning. It explains how MCTS involves selection, expansion, simulation, and backpropagation, while Alpha Zero utilizes visit counts, action values, and prior action probabilities to make decisions in games like Chess, Shogi, and Go.