Search Results for author:
Found 2 papers, 2 papers with code
Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach
Finally, the experiments validate that our approach is effective in both offline and online prediction of HM positions for panoramic video, and that the learned offline-DHP model can improve the performance of online-DHP.
Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning
However, the conventional deep neural network architecture is limited in learning representations for multi-task RL (MT-RL), as multiple tasks can refer to different kinds of representations.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
