首页>
外国专利>
DISTRIBUTED STRENGTHENING LEARNING METHOD FOR INTEGRATING EXPERIENCE STRENGTHENING TYPE STRENGTHENING LEARNING METHOD AND ENVIRONMENT IDENTIFICATION TYPE STRENGTHENING LEARNING METHOD BY USING MULTI-AGENT MODEL
DISTRIBUTED STRENGTHENING LEARNING METHOD FOR INTEGRATING EXPERIENCE STRENGTHENING TYPE STRENGTHENING LEARNING METHOD AND ENVIRONMENT IDENTIFICATION TYPE STRENGTHENING LEARNING METHOD BY USING MULTI-AGENT MODEL
展开▼
机译：综合多经验模型的经验强化型强化学习方法与环境识别型强化学习方法的分布式强化学习方法
展开▼
页面导航
摘要
著录项
相似文献
摘要
PROBLEM TO BE SOLVED: To reduce trial frequency required for learning and to provide the system with a robust property in a dynamic environmental change by integrating an experience strengthening type strengthening learning method and an environment identification type strengthening learning method by using a multi-agent model for strengthening learning to be executed so as to be autonomously applied to an environment. ;SOLUTION: When plural candidates exist, an environment strengthening agent selects one of plural candidates at random (S11). The moved state is registered in an episode registering table (S13) and whether a reward is paid or not is checked (S15). When the reward is paid, an environment identification agent is generated (S17), and when the reward is not paid, whether the candidate meets a storage module or not is checked (S19). When the candidate does not meet the storage module, the same processing is repeated (S11), but when the candidate meets the storage module and when the environment identification agent is generated, strengthening values are set up in respective states registered in the episode registering table and then the table is initialized (S25).;COPYRIGHT: (C)2000,JPO
展开▼
