Academic Discipline

AI & Machine Learning

Deep learning, language models, reinforcement learning, statistical learning theory, representation learning, and vision.

10courses86standalone talks213total lectures

Subfields

All AI & ML213 Deep Learning80 Language Models & NLP73 Reinforcement Learning35 Statistical Learning & Causality35 Computer Vision & Graphics28 Mechanistic Interpretability, Alignment & World Models27 Active Inference, Cybernetics & Artificial Life2

Reinforcement Learning— Markov decision processes, value iteration, Q-learning, policy gradients, exploration, and planning.

4 topics

All Reinforcement Learning Policy Gradients & Imitation Learning16 MDPs, Bellman Equations & Q-Learning14 Monte Carlo Tree Search2 Policy Optimization2

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Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning

Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning

AI & ML·Research Seminar·Deep Learning · Parham Panahi · University of Alberta (Amii)

University of Alberta (Amii)

56:25

Foundations of Deep Reinforcement Learning: Problem Formulation & Neural Control

Foundations of Deep Reinforcement Learning: Problem Formulation & Neural Control

CS 285 · Deep Reinforcement Learning · Lec 1·Deep Learning · Sergey Levine · UC Berkeley

17:54

Self Attention and Non-parametric transformers (NPTs)

Self Attention and Non-parametric transformers (NPTs)

CS25 · Transformers United · Lec 6·Deep Learning · Ashish Vaswani, Lucas Beyer & William Fedus · Stanford University

Ashish Vaswani&Lucas Beyer

Stanford University

1:05:43

Deep Reinforcement Learning

Deep Reinforcement Learning

Convolutional Neural Networks for Visual Recognition · Lec 14·Deep Learning · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

1:04:01

Policy Gradient Foundations: Trajectory Distributions & High-Dimensional State Spaces

Policy Gradient Foundations: Trajectory Distributions & High-Dimensional State Spaces

CS 285 · Deep Reinforcement Learning · Lec 6·Deep Learning · Sergey Levine · UC Berkeley

26:28

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