Publication

DIET Controller: Dynamic Indoor Environment using Deep Reinforcement Learning

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.

DIET Controller: Dynamic Indoor Environment using Deep Reinforcement Learning

Graph Chatbot

Chat with Graph Search

RECA: A Multi-Task Deep Reinforcement Learning-Based Recommender System for Co-Optimizing Energy, Comfort and Air Quality in Commercial Buildings

Toward contactless human thermal monitoring: A framework for Machine Learning-based human thermo-physiology modeling augmented with computer vision

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

Reinforcement Learning for the occupant-centric operation of building energy systems: Theoretical and experimental investigations

Local heating and cooling effectiveness - an evaluation method based on calculated local and overall thermal state

Inter-Individual Variability of Human Thermoregulation: Towards Personalized Ergonomics of the Indoor Thermal Environment

Measuring the effective thermal resistance of ventilated air-spaces behind common wall assemblies: Theoretical uncertainty analysis and recommendations for the hot box method modifications (ASHRAE 1759-RP)

Variation in Indoor Thermal Environmental Parameters in an Open Space Office

Reinforcement learning for occupant-centric operation of residential energy system

Interindividual variability of human thermoregulation: Toward personalized ergonomics of the indoor thermal environment