World Models for RL Training an Underrated Direction

Will Depue argues that training RL with world models is underrated: negative-feedback production traces can be fed to a model to generate synthetic environments, borrowing from robotics simulation, though he warns of reward hacking against imperfect simulators and suggests mitigations.

2026-09-22 ~ 2026-09-22 · 3 related posts

• World models for RL is an underrated research direction, argues OpenAI dev — willdepue · 2026-09-22
• Will Depue on training RL in synthetic worlds: borrow robotics' simulator trick — willdepue · 2026-09-22
• Will Depue: the big risk of synthetic-world RL is hacking the world model itself — willdepue · 2026-09-22