Overview
RxInfer.jl is a reactive message-passing probabilistic programming system developed externally and adopted by the Institute as a key platform for Active Inference implementations. The Institute's learning group focuses on understanding, applying, and extending RxInfer across Active Inference use cases — building examples, documentation, and learning pathways for community members.
Resources
The group maintains a project overview, learning sessions, and code in the Institute repository. Active sessions appear in the Institute's activities calendar.
Participate
Participants can join learning sessions, contribute examples, or help improve RxInfer's visualization capabilities. Julia programming experience is helpful but structured learning sessions accommodate all levels.