Lecture

Elements of Reinforcement Learning: Quiz on States

Related lectures (7)
Neural Networks: Training and Activation
Explores neural networks, activation functions, backpropagation, and PyTorch implementation.
Neural Networks: Logic and Applications
Explores the logic of neuronal function, the Perceptron model, deep learning applications, and levels of abstraction in neural models.
Learning from the Interconnected World with Graphs
Explores learning from interconnected data using graphs, covering challenges, GNN design, research landscapes, and democratization of Graph ML.
DevSecOps: Security in DevOps Culture
Explores the integration of security practices within the DevOps culture, emphasizing the importance of adding security measures throughout the software development lifecycle.
Self-Organization: Challenges and Applications
Explores the benefits, challenges, and applications of self-organization in various fields.
Dynamics of Linear Neural Networks
Explores the learning dynamics of deep neural networks using linear networks for analysis, covering two-layer and multi-layer networks, self-supervised learning, and benefits of decoupled initialization.
Data-Driven Insights: NLP and AI Applications
Explores building OS for heterogeneous hardware, data movement efficiency, AI advancements, and NLP challenges.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.