Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
The High Level Architecture (HLA) is a standard for the interoperability and reuse of simulation components, referred to as federates. Large scale HLA-compliant simulations are bu...
We present Grouped Distributed Queues (GDQ), the first proportional share scheduler for multiprocessor systems that scales well with a large number of processors and processes. G...
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...