You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Explore Aksara Jawa effortlessly with YOLOv8 and Finite State Automata-powered Transliteration that i developed. Achieving high metrics (Train: 0.967/0.922/0.961, Validation: 0.966/0.924/0.961), our Streamlit interface ensures easy input and accurate output. Unlock precision and simplicity in Aksara Jawa to Latin conversion.
Code for the papers "Induction of Subgoal Automata for Reinforcement Learning" (AAAI-20) and "Induction and Exploitation of Subgoal Automata for Reinforcement Learning" (JAIR).