Official reinforcement learning environment for demand response and load shaping

Download and parse Travis County Apprasal District export files

RLEM brings together researchers and industry practitioners for the advancement of (deep) reinforcement learning (RL) in the built environment as it is applied for managing energy in civil infrastructure systems (energy, water, transportation).

Guides for various topics to get started with research at IEL

Dashboard showcasing Covid-19 research by the Intelligent Environments Lab at UT Austin