Perry Dong(@perryadong):World models have emerged as one of the biggest directions in physical AI. At the same time, RL fine-tuning is unlocking capabilities in frontier models beyond what pretraining can achieve on its own Can we get the best of both worlds? We propose Q-Learning with World Models (QWM) (1/7)

Perry Dong

@perryadong

CS PhD @StanfordAILab, Part Time @GoogleDeepMind | Reinforcement Learning

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Perry Dong@perryadong

2026.08.19 19:17

World models have emerged as one of the biggest directions in physical AI. At the same time, RL fine-tuning is unlocking capabilities in frontier models beyond what pretraining can achieve on its own Can we get the best of both worlds? We propose Q-Learning with World Models (QWM) (1/7)