Skip to content
Sagan

Paper

Agentic Transformers Provably Learn to Search via Reinforcement Learning

Unreadunread

AI summary

arXiv:2606. 00183v1 Announce Type: new Abstract: Tree search is a central abstraction behind many language-agent reasoning and decision-making tasks: agents must explore actions, remember failures, and backtrack toward promising alternatives.