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.
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Was the paper optimizing for multiple objectives? Sounds like this project is pursuing some features that haven’t been proven
You don’t have to prove them since you can just try things and see what the results are. The paper acts as a solid basis of an approach that’s known to work.
