Darwin Neuroevolution Framework
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Domain: The classic Pong game. More...
#include <pong.h>
Public Member Functions | |
size_t | inputs () const override |
Number of inputs to a Brain. | |
size_t | outputs () const override |
Number of outputs from a Brain. | |
bool | evaluatePopulation (darwin::Population *population) const override |
Assigns fitness values to every genotype. More... | |
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virtual unique_ptr< core::PropertySet > | calibrateGenotype ([[maybe_unused]] const Genotype *genotype) const |
Optional: additional fitness metrics (normally not used in the population evaluation, ie a test set) | |
Domain: The classic Pong game.
This is an implementation of the classic 2-player Pong game: each player controlls a paddle (which can be moved up or down). The ball bounces off the walls, and if it goes behind the paddle line, the other player scores a point.
All the population members participate in a tournament and the outcomes are used to calculate the individual fitness values.
Input | Value |
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0 | my_paddle_pos |
1 | opponent_paddle_pos |
2 | ball_x |
3 | ball_y |
4 | ball_vx |
5 | ball_vy |
Output | Value |
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0 | move_up |
1 | move_down |
The largest output signal determines the player action at the current step. If none of the output values is larger than 0, then the default action is "do nothing".
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overridevirtual |
Assigns fitness values to every genotype.
Having a good fitness function is a key part of evolutionary algorithms:
true
if the evolution goal was reached Implements darwin::Domain.