Intuitive Pathfinding of Autonomous Agents

This paper treats the pathfinding of autonomous agents from a given start point to a set of targets. It mainly focuses on continuous domains with continuous state and action spaces of the agents. In these continuous domains a technique called Cross Entropy Online Planning can be deployed by the agents to plan and assess sequences of actions in order to reach their goals. However, this technique requires a simulation model of the environment to enable the agents to predict and evaluate future states of the environment. This could be combined with results of the field of Intuitive Physics which tries to create models for simple physical object interactions based merely on observations. The contribution of this work is the idea to replace the simulation model in Online Planning with results of the field of Intuitive Physics in order to create Intuitive Acting Autonomous Agents. The benefit of this will be the automated creation of the otherwise manually created model and an enhancement of the flexibility