we introduce task selection based on prior experience into a meta-learning algorithm by conceptualizing the learner and

We highly appreciate the reviewers' time, efforts, and valuable suggestions! R3, R4 asked for further clarification on the differences between existing work and our approach. P AML and ACL can be seen as complimentary approaches, e.g., P AML might be used to R1 also mentions that only one of the environments is learned from pixel data. Lastly, we will add an analysis of the settings fully observed 4.1 and pixel-descriptor 4.4. With space constraints in mind and since our work's goal is to incorporate active ML approach used in this work in Section 2. Control signals.