Abstract
In recent years, reinforcement learning has been applied to many areas, especially deep reinforcement learning. Deep learning-based methods use a large computing method known as Quantization Aware Training (QAT). For this project, QAT will be used to investigate the performance of Deep Q-Networks. This method of QAT can reduce memory usage of the network, but may affect the training performance of the network with some games.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.