2025
Active Visual Learning for Robots with Dueling Deep Q-Networks and Transformer Encoders
ICASSP 2025accepted
Active vision learning aims to develop intelligent systems capable of actively exploring and understanding their surroundings to optimize detection performance. Although current research has begun to explore how reinforcement learning can drive robots to actively perceive their environment, it often…