CQM: Curriculum Reinforcement Learning with a Quantized World Model

Neural Information Processing Systems 

Recent curriculum Reinforcement Learning (RL) has shown notable progress in solving complex tasks by proposing sequences of surrogate tasks. However, the previous approaches often face challenges when they generate curriculum goals in a high-dimensional space.

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