"Reinforcement Learning to Create Value and Policy Functions Using Minimax ..."

Kei Takada, Hiroyuki Iizuka, Masahito Yamamoto (2020)

> Home

Details and statistics

DOI: 10.1109/TG.2019.2893343

access: closed

type: Journal Article

metadata version: 2020-04-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tciaig/TakadaIY20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tciaig/TakadaIY20
Kei Takada, Hiroyuki Iizuka, Masahito Yamamoto:
Reinforcement Learning to Create Value and Policy Functions Using Minimax Tree Search in Hex. IEEE Trans. Games 12(1): 63-73 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.