arXiv cs.CL
· Papers
PatchWorld: Gradient-Free Optimization of Executable World Models for Agent Environments
arXiv:2605.30880v4 Announce Type: replace Abstract: World models for interactive text agents must typically be learned from observation-action trajectories alone. Specifically, the environment returns text observations after each action, but does not expose a ground-truth latent state nor an inspectable transition mode