Decentralized partially observable Markov decision process (DEC-POMDP) is an approach to model multi-robot decision making problems under uncertainty. Since it is NEXP-complete the...
There has been little research into how end-user programming environments can provide explanations that could fill a critical information gap for end-user debuggers – help with ...
In this paper, we argue that HCI practitioners are facing new challenges in design and evaluation that can benefit from the establishment of commonly valued use qualities, with as...
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
The present paper analyzes a learning experience run at University of Macerata, during a post degree course for in service teachers and mature students. The course was delivered e...