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Deep Reinforcement Learning Hands-On
book

Deep Reinforcement Learning Hands-On

by Oleg Vasilev, Maxim Lapan, Martijn van Otterlo, Mikhail Yurushkin, Basem O. F. Alijla
June 2018
Intermediate to advanced content levelIntermediate to advanced
546 pages
13h 30m
English
Packt Publishing
Content preview from Deep Reinforcement Learning Hands-On

Connect4 bot

To see the method in action, let's implement AlphaGo Zero for Connect4. The game is for two players with fields 6 × 7. Players have disks of two different colors, which they drop in turn to any of the seven columns. Disks fall to the bottom, stacking vertically. The game objective is to be the first to form a horizontal, vertical or diagonal group of four disks of the same color. Two game situations are shown in the diagram. On the first, the red player has just won, while on the second, the blue player is going to form a group.

Connect4 bot

Figure 2: Two game positions in Connect4

Despite the simplicity, this game has 4.5*1012 different game states, ...

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Publisher Resources

ISBN: 9781788834247Supplemental Content