A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
Research on resource-bounded agents has established that rational agents need to be able to revise their commitments in the light of new opportunities. In the context of collabora...
Abstract-- Our starting point is the multiplicative utility function which is extensively used in the theory of multicriteria decision making. Its associativity is shown and as its...
This project focuses on developing a flapping-wing hovering insect using 3D printed wings and mechanical parts. The use of 3D printing technology has greatly expanded the possibi...