Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
A technique is presented for generating implicit sweep objects that support direct specification and manipulation of the surface with no topological limitations on the 2D sweep t...
We present provably efficient parallel algorithms for sweep scheduling, which is a commonly used technique in Radiation Transport problems, and involves inverting an operator by i...
V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Pa...
A parallel version of the plane sweep algorithm targeted towards the small number of processing cores available on commonly available multi-core systems is presented. Experimental...