Explore cutting-edge research in artificial intelligence and machine learning through final project presentations from graduate students. Delve into topics such as S4 Transformer models, supervised video action recognition, offline reinforcement learning, and decision transformer encoders. Gain insights into problem statements, experimental methodologies, evaluation metrics, and implications of various AI applications. Examine qualitative results and conclusions drawn from these advanced studies, providing a comprehensive overview of current trends and innovations in the field of computer vision and machine learning.
Overview
Syllabus
Intro
Problem Statement
S4 Transformer
Final Model
Experiments
Evaluation Metrics
Implications
Supervised Video Action Recognition
Offline reinforcement learning
Decision transformer encoder
Results
Conclusions
Presentation
Related Work
Problem Overview
Qualitative Results
Taught by
UCF CRCV
