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Learn Inverse RL in under an hour with Pascal Poupart's video lectures, covering topics from supervised learning to policy induction.
Explore Distributional RL with Pascal Poupart's video lectures, covering topics like policy evaluation, Bellman Equation, and Atari results. Less than 1-hour workload.
Explore Partially Observable Markov Decisions, Reinforcement Learning, and more with Pascal Poupart's concise, less than 1-hour material. Includes video lectures and slides.
Explore imitation learning with Pascal Poupart's series of video lectures, covering topics from autonomous driving to robotics experiments. Less than 1-hour workload.
Explore Maximum Entropy Reinforcement Learning in less than an hour with Pascal Poupart's video lecture series, featuring topics like Q-function, Greedy Policy, and Soft Actor-Critic.
Explore trust region and proximal policy optimization with Pascal Poupart's video lectures, featuring less than an hour of material on gradient policy optimization, Kullback-Leibler Divergence, and more.
Explore density estimation and normalizing flows with Pascal Poupart's online material, covering topics from change of variables formula to neural autoregressive flows. Estimated workload: 1-2 hours.
Learn about autoencoders, principal component analysis, and sparse representations in less than an hour with Pascal Poupart.
Dive into Attention and Transformer Networks with Pascal Poupart's online material, covering topics from neural networks to machine translation. Estimated workload: 1-2 hours.
Dive into Hidden Markov Models with Pascal Poupart's online program. In 1-2 hours, learn about robot localization, monitoring tasks, and more.
Learn about convolutional neural networks with Pascal Poupart in a 1-2 hour study, covering topics from discrete convolutions to digit recognition and training.
Dive into Support Vector Machines with Pascal Poupart's concise online program. Learn about soft margins, slack variables, and multiclass margin in under an hour.
Learn about support vector machines, margin classifiers, and linear separators in a 1-2 hour online program by Pascal Poupart.
Learn logistic regression and generalized linear models with Pascal Poupart in a 1-2 hour study, including case studies and app recommendations.
Learn K-nearest neighbours concepts, classification vs regression, and underfitting in a 1-2 hour material by Pascal Poupart.
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