Traditional operating systems use a xed LRU-like page replacement policy and centralized frame pool that cannot properly serve all types of memory access patterns of various appli...
Sorting is a memory intensive operation whose performance is greatly affected by the amount of memory available as work space. When the input size is unknown or available memory s...
Memory is often considered to be embedded into one of the attractors in neural dynamical systems, which provides an appropriate output depending on the initial state specified by ...
This paper brings together work in modeling episodic memory and reinforcement learning. We demonstrate that is possible to learn to use episodic memory retrievals while simultaneo...