Reaktor race-condition

Introduction

https://race-condition.reaktor.com/play

Input data

• FPV view
• speed?
• best lap time, last lap time?

Output

• throttle
• steering

Theory

Rules

PID algorithm

PID to stay in the blue area.

NEAT algorithm

Input

• Distance to some black; about 15.

A.I. teaches itself to drive in Trackmania: https://www.youtube.com/watch?v=a8Bo2DHrrow

• The neat algorithm: https://neat-python.readthedocs.io/en/latest/neat_overview.html
• Input: Wall distances and speed (shown at t=1.01; 7 or 15 distances)
• 8 inputs (distances and speed) -> 3 outputs (left, right, throttle)
• Fitness function: distance traveled by the car in a given time
• Generation 1: Population of 100.
• Generation n: crossovers of best individuals + random mutations
• Q-learning,

https://www.youtube.com/results?search_query=neat+algorithm+game

https://medium.com/@nirajsawant2313/a-simple-ai-using-neat-neuroevolution-of-augmenting-topologies-ae1b7d8f4a5e

• Inputs: The relative position of the ball to the paddle, velocity of the ball. Totally 4.
• Outputs: Left, Right, place
• Fitness function: +10 if hits, -5 if misses.

https://towardsdatascience.com/neuro-evolution-on-steroids-82bd14ddc2f6

Soft Actor-Critic Algorithm

https://github.com/trackmania-rl/tmrl

• Soft Actor-Critic: a beginner-friendly introduction https://www.youtube.com/watch?v=LN29DDlHp1U