Review for NeurIPS paper: Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
–Neural Information Processing Systems
Additional Feedback: 148: "ranked by confidence scores in policy distribution": are these nodes with the highest probability under the current policy \pi? 163: I was unclear on what metric M is used. I think it would be helpful to give some more motivation for the proxy graph. Is the proxy graph necessary because the underlying navigation graphs are too large or too densely connected to run a GNN on? Or does the proxy graph improve performance on the metrics? Can "mp" in Table 3 be defined in terms of the K_p or K_L defined in section 4.2? --- update after author response --- Thank you for all your helpful clarifications! They largely address my concerns, and I've updated my score to a 6.
Neural Information Processing Systems
Feb-7-2025, 21:46:51 GMT
- Technology: