Bilevel Optimization of Agent Skills via Monte Carlo Tree Search

Implement a reinforcement learning framework that treats agent 'skills' as a tree-search optimization problem. This helps agents dynamically pick and improve their tool usage.

Suggested repo: skill-tree

"Automatically optimize your agent's toolkit for every mission."

Estimated effort: 100h