Hi, thank you for the code and pretrained models for "Robust USV Navigation
with Distributional Reinforcement Learning" (arXiv:2307.16240).
I am trying to faithfully reproduce Fig. 4. The public pretrained_models/
directory currently only contains seed 3 (IQN/seed_3 and DQN/seed_3). However,
Fig. 4 appears to report mean +/- std over 30 seeds, and I could not find the
30 numerical seeds or the 30 model artifacts in the repository history,
branches, tags, or releases.
Could you please share any of the following?
- The list of the 30 training/evaluation seeds used for Fig. 4.
- Whether the 30-seed result is the mean over 30 independently trained models,
or one model evaluated with 30 seeds.
- The 30 pretrained model checkpoints, if still available (otherwise just the
seeds are enough for us to retrain).
- Confirmation of the evaluation protocol (episodes per scenario, evaluation
seeds, and how success/time/energy metrics were aggregated).
Thank you very much for your help.
Hi, thank you for the code and pretrained models for "Robust USV Navigation
with Distributional Reinforcement Learning" (arXiv:2307.16240).
I am trying to faithfully reproduce Fig. 4. The public
pretrained_models/directory currently only contains seed 3 (IQN/seed_3 and DQN/seed_3). However,
Fig. 4 appears to report mean +/- std over 30 seeds, and I could not find the
30 numerical seeds or the 30 model artifacts in the repository history,
branches, tags, or releases.
Could you please share any of the following?
or one model evaluated with 30 seeds.
seeds are enough for us to retrain).
seeds, and how success/time/energy metrics were aggregated).
Thank you very much for your help.