Typically,cell parameterssuch as the pin-to-pinintrinsicdelays, load-dependentcoe cients,andinputpin capacitanceshavedifferent values for rising and falling signals. The performan...
A critical challenge to creating effective agent-based systems is allowing them to operate effectively when the operating environment is complex, dynamic, and error-prone. In this...
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
When modelling complex systems one can not include all the causal factors, but one has to settle for partial models. This is alright if the factors left out are either so constant...
The Internet is rapidly changing from a set of wires and switches that carry packets into a sophisticated infrastructure that delivers a set of complex value-added services to end...
Prashant R. Chandra, Allan Fisher, Corey Kosak, T....