SEMI-OPTIMAL PATH FINDING IN A WHOLLY UNKNOWN ENVIRONMENT
专利汇可以提供SEMI-OPTIMAL PATH FINDING IN A WHOLLY UNKNOWN ENVIRONMENT专利检索，专利查询，专利分析的服务。并且A mobile robot, which is guided by a new learning algorithm is presented. The first task for the robot is searching a path like a human being. That is, finding a semi-optimal path to a given goal in a wholly unknown, unpredictable and partly, dynamic large-scale environment. Therefore, it demands high technique of environment modeling through learning. Because the robot should realize its missions within the framework of the task knowledge, there appears a new phenomenon and a Dead Corner theory: genetic algorithm and reinforcement learning algorithm are the basis for the presented theory. Powerful methods are described in the mathematics tool of MDP models. The essential method of the sub-goal method is similar with the Sub-goal method of Options over MDP theory and has been successfully proved. The presented theory is a refined theory of A Learning Classifier System theory. Most of the theory has been proved in a visualization platform of an animation simulator.，下面是SEMI-OPTIMAL PATH FINDING IN A WHOLLY UNKNOWN ENVIRONMENT专利的具体信息内容。
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