Reinforcement Learning with Inverse Rewards for World Model Post-training

Yang Ye, Tianyu He, Shuo Yang +1

World models simulate dynamic environments, enabling agents to interact with diverse input modalities. Although recent advances have improved the visual quality and temporal consis…