NEAT-GRU

Install Nlohmann/json

sudo apt-get install -y nlohmann-json-dev

Generate doc with Doxygen

doxygen doc.conf

Build

Using a CMake subdirectory

Add to your projects CMakeLists.txt:

add_subdirectory(NEAT-GRU NEAT)
target_link_libraries(trading NEAT_GRU)

Shared library

mkdir Release
cd Release
cmake -DCMAKE_BUILD_TYPE=Release -D__MULTITHREADED__=1 .. .
sudo make install

How to use

• Implement the abstract class Game::Game:

  #include <neat/Game/Game.h>
  class Simulation: public Game {
    std::vector<double> do_run_generation() override {...}
    void do_reset_players(NN * nets, size_t count) override {...};
    void do_post_training(Topology_ptr topology) override {...};
  }
  

• Create a Train instance and give it a pointer to a Simulation instance:

  auto * sim = new Simulation();
  const int iterations = 1000;
  const int max_individuals = 300; // Individuals per generation
  const int inputs = 10; // Input neurons
  const int outputs = 5; // Output neurons
  Train train(sim, max_individuals, inputs, outputs);
  train.start(); // Runs the training, will output the resulting network to "topologies.json"