Academic Discipline
AI & Machine Learning
Deep learning, language models, reinforcement learning, statistical learning theory, representation learning, and vision.
10courses86standalone talks213total lectures
Subfields
Reinforcement Learning— Markov decision processes, value iteration, Q-learning, policy gradients, exploration, and planning.
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