Sciweavers

PRICAI
2000
Springer

Unified Criterion of State Generalization for Reactive Autonomous Agents

13 years 7 months ago
Unified Criterion of State Generalization for Reactive Autonomous Agents
Autonomous state generalization problem is a key issue in the research field of behavior learning of reactive agents, and many approaches have been proposed in recent years. However, those existing methods have a diversity in their criteria of state generalization or "how to define the similarity or distance between different sensor inputs", while it is not yet clear how this difference in the criteria would affect the entire learning process. In this paper, we first classify and examine those conventional heuristic criteria of state generalization, and then propose a new general framework for unifying all of them. This novel general criterion is based on minimization of weighted sum of entropies in multiple behavior outcomes of agents. An experimental study in the latter part suggests that this state generalization criterion enables a reactive agent to construct or reconstruct its state space in a more efficient and flexible way.
Takehisa Yairi, Koichi Hori, Shinichi Nakasuka
Added 25 Aug 2010
Updated 25 Aug 2010
Type Conference
Year 2000
Where PRICAI
Authors Takehisa Yairi, Koichi Hori, Shinichi Nakasuka
Comments (0)