Self-Driving Vehicle Setup
Using Genetic Algorithm to evolve a Neural Network Vehicle to drift around in an enclosed circuit.

The image below is a link to the following youtube video: https://www.youtube.com/watch?v=Yx6JVTKVl0M

1. The God.c script decides the population size and mutation probabilities
2. When the sim starts, N individuals are spawned with a randomly initialized Neural Network (NN)
3. For every Update() cycle, the individual calculates Steering & Throttle inputs from the NN
4. If the individual crashes into the wall, it stops and waits for all other individuals to crash
5. Once all the individuals crash, random pairs are picked from the population, with the one gone farthest, having the highest probability
6. Then iterate through each NN Weight and if a random float is greater than pCrossing, exchange the Weights
7. Do this till the population of the new individuals is again N
8. Run the next generation

• GeneticVehicleDrift/Source/Genetic_DriftCar/God.cpp
• GeneticVehicleDrift/Source/Genetic_DriftCar/GeneticAlgorithm/DriftPawn_1HL.cpp

• AdvVehicle from UE4 starter content tuned for high-slide-angle drifts
• Custom Neural Network
• Genetic Algorithm Simulation's configuration modifiable (in God.cpp):
  1. Initial Population
  2. Number of distance-sensor-units (Input Layer)
  3. Crossing Probability
  4. Mutation Probability
  5. Number of nodes in Hidden Layer
  6. Drift score multiplier (to +/- the importance of drifting in the simulation)

1. Have UE4 (4.21) installed
2. Clone/Download the repository
3. Go to directory
4. Open GeneticVehicleDrift.uproject