Before revision:  We present the GRIMGEP framework: it provides a learned robust goal sampling prior that can be used on top of current state-of-the-art novelty seeking goal exploration approaches, enabling them to ignore noisy distracting regions while searching for novelty in the learnable regions .
After revision:  We propose a framework that allows agents to autonomously identify and ignore noisy distracting regions while searching for novelty in the learnable regions .