https://paperium.net/article/en/9573/citylearn-standardizing-research-in-multi-agent-reinforcement-learning-fordemand-response-and-urban
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and...
Quick breakdown of the 'CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management' paper
multi agent
https://www.aicrowd.com/challenges/neurips-2023-citylearn-challenge/problems/control-track-citylearn-challenge/submissions/245242
AIcrowd | Control Track: CityLearn Challenge | Submissions #245242
Develop Energy Management Agent(s)
aicrowdcontroltrackcitylearnchallenge
https://www.aicrowd.com/challenges/neurips-2023-citylearn-challenge/problems/forecasting-track-citylearn-challenge/submissions/237615
AIcrowd | Forecasting Track: CityLearn Challenge | Submissions #237615
Design Regression Models To Predict Load Profiles
aicrowdforecastingtrackcitylearnchallenge
https://www.aicrowd.com/challenges/control-track-citylearn-challenge/submissions/245415
AIcrowd | Control Track: CityLearn Challenge | Submissions #245415
Develop Energy Management Agent(s)
aicrowdcontroltrackcitylearnchallenge
https://www.aicrowd.com/challenges/neurips-2023-citylearn-challenge/problems/control-track-citylearn-challenge/submissions/237221
AIcrowd | Control Track: CityLearn Challenge | Submissions #237221
Develop Energy Management Agent(s)
aicrowdcontroltrackcitylearnchallenge