Sharon Liu presented her work on a reference architecture for RL at ICSA

Xiaoran (Sharon) Liu just presented her work on A Reference Architecture of Reinforcement Learning Frameworks in the main track of the CORE A-ranked International Conference on Software Architecture (ICSA). In addition, she also had a poster on the same topic to facilitate more open-ended discussions. Preprint available here.

This has been Sharon’s first international conference and she did an impressive job entertaining an expert audience.

Next up is MODELS’26 (also CORE A) in Málaga, Spain, where Sharon will talk about her Model-Driven Approach for Developing Families of Reinforcement Learning Environments.

Congratulations, Sharon! We are incredibly proud of you.