Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Abstract— Redundant manipulators have some advantages when compared with classical arms because they allow the trajectory optimization, both on the free space and on the presence...
Virtual characters are at the epicentre of Interactive Storytelling systems and in recent years multiple AI planning approaches have been described to specify their autonomous beh...
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...
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...