Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
In this paper, we study the problem of transfer learning from text to images in the context of network data in which link based bridges are available to transfer the knowledge bet...
In this paper, we study the class of competitive equilibria in two sided matching markets with general (non-quasilinear) utility functions. Mechanism design in general non-quasili...
Consider a multiple-agent transition system such that, for some basic types T1, . . . , Tn, the state of any agent can be represented as an element of the Cartesian product T1 ×·...
This paper explains the structure of a project repository, which enables you to trace business processes and business rules to the architecture and design of the software system. T...