arXiv cs.AIPaper
Why Sample What You Can Enumerate? Exact Policy Optimization for Genomic Tool Selection
The real insight is about agent training fundamentals: sampling-based RL breaks when your action space is tiny and deterministic, which is true in specialist domains. If you're fine-tuning models to call tools in a constrained setting—biotech workflows, surgical planning, compliance checking—FGPO points to a better optimization path than generic RL recipes.