STRIVE: Structured Spatiotemporal Exploration for Reinforcement Learning in Video Question Answering

STRIVE: Structured Spatiotemporal Exploration for Reinforcement Learning in Video Question Answering explores A reinforcement learning framework that improves video question answering by exploring structured spatiotemporal variations of videos to stabilize training and enhance reasoning.. Commercial viability score: 7/10 in Video Question Answering.