September 2018
Intermediate to advanced
296 pages
9h 10m
English
Content preview from Python Reinforcement Learning Projects
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Combining neural networks and MCTS
In AlphaGo, the policy and value networks are combined with MCTS to provide a look-ahead search when selecting actions in a game. Previously, we discussed how MCTS keeps track of the mean reward and number of visits made to each node. In AlphaGo, we have a few more values to keep track of:
: Which is the mean action value of choosing a particular action
: The probability of taking an action for a given board state given by the larger supervised learning policy network- : The value evaluation of a state that ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.