We propose a new method to categorize continuous numeric percepts for Q-learning, where percept vectors are classified into categories and Q-learning uses ...

We propose a new method SSED (State Segmentation based on Euclidean Distance) to categorize continuous numeric percepts for Q-learning, where percept vectors ...

We propose a new method to categorize continuous numeric percepts for Q-learning, where percept vectors are classified into categories and Q-learning uses ...

We propose a new method to categorize continuous numeric percepts for Q-learning, where percept vectors are classified into categories and Q-learning uses ...

We propose a new method SSED (State Segmentation based on Euclidean Distance) to categorize continuous numeric percepts for Q-learning, where percept ...

A new method is proposed to categorize continuous numeric percepts for Q-learning, where percept vectors are classified into categories and Q- learning uses ...

Abstract. We propose a new method SSED (State Segmentation based on Euclidean Distance) to categorize continuous numeric percepts for Q-learning, ...

We propose a new method to categorize continuous numeric percepts for Q-learning, where percept vectors are classified into categories and Q-learning uses ...

Abstract. This paper proposes a method which estimates the relationships between learner's behaviors and other a- gents' ones in the environment through ...

In this work we approach the goal of behavior acquisition in artifical game agents ... segmentation of the input space and the. mappings ... Figure 5.12: Examples ...