Generation: 0

Population: 0

Agents Finished: 0 / 0

Best Result (Current): N/A

Best Time (All Time): N/A

EvoWalkers

An AI simulation where agents evolve over generations to learn how to walk using neural networks and physics.

How it Works:

Agents try to move right using simple neural 'brains'.
The first agent to finish starts a 7-second countdown.
Generation ends when timer runs out or all agents finish.
Fitness is based on finish time (lower is better).
Unfinished agents get a penalty time.
The fastest agent's 'brain' seeds the next generation.
Random mutations introduce new strategies.
Watch evolution in action!

Best Time Ever: N/A