Automatic cost analysis has interesting applications in the context of verification and certification of mobile code. For instance, the code receiver can use cost information in o...
Currently, applications that focus on providing conversations with virtual humans require extensive work to create robust conversational models. We present a new approach called Hu...
We propose distributed algorithms to automatically deploy a group of mobile robots to partition and provide coverage of a non-convex environment. To handle arbitrary nonconvex envi...
Joseph W. Durham, Ruggero Carli, Paolo Frasca, Fra...
Decentralized control of a cooperative multi-agent system is the problem faced by multiple decision-makers that share a common set of objectives. The decision-makers may be robots...
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...