Call for Papers: RLEM23

Do you work at the intersection of #ArtificialIntelligence#SmartCities, and #Decarbonization? We want to hear from you!

🔬 Our upcoming 4th edition of the ACM RLEM Workshop continues to build a community around this critical and thrilling topic, create a platform for future research directions, share common frameworks, and discuss real-world challenges and implementations. 

Watch the previous editions at

🌍 Buildings and transportation combined account for a staggering 70% of global energy consumption. Yet, they present massive CO2 mitigation potential through smart electrification, efficient energy usage, and upgrade of thermal properties. We believe that integrating renewable energy systems, photovoltaics, solar-thermal collectors, storage, and electric vehicles holds the key to unlock this potential.

💡 But integration must be done carefully and intelligently. Here’s where AI and RL come into play. They’ve shown human expert level performance in various domains, and we think they have the power to orchestrate the complexities of smart cities.

🎯 Topics of interest include:
Challenges & opportunities for AI/RL in Building and Cities
Comparisons ofAI/RL algorithms to other control solutions
Frameworks and datasets for benchmarking algorithms
Theoretical contributions to the RL field
Applications like demand response, HVAC control, traffic scheduling, etc.
Predicting energy consumption & renewable energy forecasting for Energy Demand Site Management

Paper submission: September 1, 2023 (AOE)
Notifications: September 15, 2023 (AOE)
Camera Ready: September 29, 2023 (AOE)
Workshop date: November tbd

Zoltan Nagy
Zoltan Nagy
Assistant Professor

My research interests include reinforcement learning for buildings and smart cities.