December 2019
Intermediate to advanced
368 pages
11h 10m
English
Content preview from Hands-On Neuroevolution with Python
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Maze simulation environment
The environment for the maze simulation consists of three major components that are implemented as separate Python classes:
- Agent: The class that holds information related to the maze navigator agent that is used by simulation (see the agent.py file for the implementation details).
- AgentRecordStore: The class that manages the storage of records relating to evaluations of all the solver agents during the evolutionary process. The collected records can be used to analyze the evolutionary process after its completion (see the agent.py file for the implementation details).
- MazeEnvironment: The class that contains information about the maze simulation environment. This class also provides methods that manage the simulation ...
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