“The Multi-User Programming Pedagogy for Enhancing Traditional Study” (MUPPETS) system has been under development at RIT for the last three years. This multi-user environment ...
Abstract The emerging area of intelligent unmanned aerial vehicle (UAV) research has shown rapid development in recent years and offers a great number of research challenges for ar...
Multi-agent teamwork is critical in a large number of agent applications, including training, education, virtual enterprises and collective robotics. Tools that can help humans an...
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
gn process of embedded systems moves currently towards higher levels of abstraction. As a consequence, a need arises for an early and realistic assessment of system level design d...