September 2018
Intermediate to advanced
296 pages
9h 10m
English
Content preview from Python Reinforcement Learning Projects
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Selection
The first step of MCTS involves playing the game intelligently. That means the algorithm has enough experience to determine the next move given a state. One method for determining the next move is called Upper Confidence Bound 1 Applied to Trees (UCT). In short, this formula rates moves based on the following:
- The mean reward of games where a given move was made
- How often the move was selected
Each node's rating can be expressed as follows:
Where:
: Is the mean reward for choosing move (for example, the win-rate)- : Is the number ...
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