There are p heterogeneous objects to be assigned to n competing agents (n > p)
each with unit demand. It is required to design a Groves mechanism for this assignment problem
s...
There are p heterogeneous objects to be assigned to n
competing agents (n > p) each with unit demand. It is
required to design a Groves mechanism for this assignment
problem ...
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
This paper describes the application of data farming techniques (Brandstein and Horne 1998) to explore various aspects of coevolutionary dynamics (McKelvey 2002) in organization s...
Rescaling is possibly the most popular approach to cost-sensitive learning. This approach works by rescaling the classes according to their costs, and it can be realized in differ...