This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
We study the amount of knowledge about the network that is required in order to efficiently solve a task concerning this network. The impact of available information on the effici...
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive obser...
A global approach to hand gesture vocabulary design is proposed which includes human as well as technical design factors. The human centered desires of multiple users are implicit...