the goal is to have an agent that can:
- Understand a complex problem description.
- Generate initial algorithmic solutions.
- Rigorously test its own code.
- Learn from failures and successes.
- Evolve increasingly sophisticated and efficient algorithms over time.
I’m trying to figure out exactly what this does, seems like it’s just some ABCs and a general framework for writing prompt loops with some logging glue?
All the code is placeholder in the actual agent modules.
If you skim the paper, Alpha Evolve is basically just a genetic algorithm which iterates on the output of the agents.