PrimeScientist Uses MCTS to Allocate Research Budget, Boosting Reward 10.3%

PrimeScientist tackles the problem of research agents having more ideas than resources by maintaining a tree of executable plans and using MCTS to strategically allocate compute, improving reward by 10.3%.

2026-09-27 ~ 2026-09-27 · 2 related posts

• PRIMESCIENTIST teaches research agents to allocate experiments, +10.3% reward with 50.6% fewer attempts — rohanpaul_ai · 2026-09-27
• PrimeScientist: MCTS-based policy teaches research agents where to spend their experiments — rohanpaul_ai · 2026-09-27