Concept

Google DeepMind

Related publications (86)

About
Privacy
Disclaimer

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.

Google DeepMind

Graph Chatbot

Chat with Graph Search

Inverse design of metal-organic frameworks for direct air capture of CO2via deep reinforcement learning

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

Glenohumeral joint force prediction with deep learning

Deep learning-based recommendation system for metal-organic frameworks (MOFs)

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning

Reconstructing lensless image with ML models and deploying them onto embedded systems

Multi-agent Reinforcement Learning for Assembly of a Spanning Structure

Towards Visual Saliency Explanations of Face Verification