In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
Many real-world tasks can be decomposed into pipelines of sequential operations (where subtasks may themselves be composed of one or more pipelines). JGram is a framework enabling...
Rahul Sukthankar, Antoine Brusseau, Ray Pelletier,...
Wireless sensor networks (WSNs) are difficult to program and usually run statically-installed software limiting its flexibility. To address this, we developed Agilla, a new midd...
Simulations often operate on static datasets and data sources, but many simulations would benefit from access to dynamic data. This paper describes our work developing a software ...
Linda F. Wilson, Daniel Burroughs, Jeanne Sucharit...
Abstract— Recent outbreaks of virus and worm attacks targeted at cell phones have bought to the forefront the seriousness of the security threat to this increasingly popular mean...