How an adaptive learning rate benefits neuro-fuzzy reinforcement learning systems

Lecture notes in computer science Volume 8794 Page 324-331

published_at 2014-10

Title

Creators Kuremoto Takashi

Creators Obayashi Masanao

Creators Kobayashi Kunikazu

Creators Mabu Shingo

Creator Keywords

Neuro-fuzzy system swarm behavior reinforcement learning (RL) multi-agent system (MAS) adaptive learning rate (ALR) goal-exploration problem

Languages eng

Resource Type journal article

Publishers Springer

Date Issued 2014-10

File Version Version of Record

Access Rights open access

Relations

[ISSN]0302-9743

[ISSN]1611-3349

[NCID]AA12401092

10.1007/978-3-319-11857-4_37

[isVersionOf] [URI]http://link.springer.com/bookseries/558

Schools 大学院理工学研究科（工学）