Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Programmers build large-scale systems with multiple languages to reuse legacy code and leverage languages best suited to their problems. For instance, the same program may use Jav...
Byeongcheol Lee, Martin Hirzel, Robert Grimm, Kath...
Due to the rapid advancement of mobile communication technology, mobile devices nowadays can support a variety of data services that are not traditionally available. With the growi...
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
This paper considers the requirements for a scalable, easily manageable, fault-tolerant, and efficient data center network fabric. Trends in multi-core processors, end-host virtua...
Radhika Niranjan Mysore, Andreas Pamboris, Nathan ...