Comments (1)
srama2512
commented on August 15, 2024
Hi @JeremyLinky
From our experiments, we observed that using the heuristic policy gives the best results for the noise-free setting and the learned policy gives the best results for the noisy setting. This is across all methods, not specific to OccAnt. By default, we train on the noisy setting. That is why the local policy is learned during training.
from occupancyanticipation.
Related Issues (20)
- Mapper training during policy training HOT 2
- Not able to load trained models HOT 9
- How is "done" variable being defined in exploration task? HOT 1
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