As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Timeliness in conventional real-time systems is addressed by employing well-known scheduling techniques that guarantee the execution of a number of tasks within certain deadlines. ...
Active Spaces are physical spaces augmented with heterogeneous computing and communication devices along with supporting software infrastructure. This integration facilitates coll...
Geetanjali Sampemane, Prasad Naldurg, Roy H. Campb...
We consider wireless networks that can be modeled by multiple access channels in which all the terminals are equipped with multiple antennas. The propagation model used to account...