September 2018
Intermediate to advanced
296 pages
9h 10m
English
Content preview from Python Reinforcement Learning Projects
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Monte Carlo tree search
The second component of our AlphaGo Zero agent is the MCTS algorithm. In our mcts.py module, we implement an MCTreeSearchNode class, which represents each node in an MCTS tree during a search. This is then used by the agent implemented in alphagozero_agent.py to perform MCTS using PolicyValueNetwork, which we implemented just now.
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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.