This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Large heterogeneous teams will often be in situations where sensor data that is uncertain and conflicting is shared across a peer-to-peer network. Not every team member will have ...
While improving raw performance is of primary interest to most users of high-performance computers, energy consumption also is a critical concern. Some microprocessors allow volta...
Energy expenditure has become a significant fraction of data center operating costs. Recently, “geographical load balancing” has been suggested to reduce energy cost by explo...
Zhenhua Liu, Minghong Lin, Adam Wierman, Steven H....
The movement of items through a product distribution network is a complex dynamic process which depends not only on the network’s static topology but also on a knowledge of how ...
Moe Thandar Wynn, Colin J. Fidge, Arthur H. M. ter...