Nat behav #113
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Nat behav #113
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…les in arena_examples.ipynb
…eird things to the jupyter
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #113 +/- ##
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- Coverage 55.18% 53.31% -1.88%
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Files 40 42 +2
Lines 3441 3588 +147
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+ Hits 1899 1913 +14
- Misses 1542 1675 +133 ☔ View full report in Codecov by Sentry. |
| sequence_length=20, | ||
| batch_size=32, | ||
| ): | ||
| self.sequence_length = sequence_length |
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My experience playing with this at some point is that I was quite dependant on the size of the room. Is there a way to make this more general ?
| # v = torch.tensor(v, dtype=torch.float32).transpose(0, 1) | ||
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| pos = np.stack([traj["target_x"], traj["target_y"]], axis=-1) | ||
| # pos = torch.tensor(pos, dtype=torch.float32).transpose(0, 1) |
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Clean the comments :)
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Adding naturalistic behavior to the main repo, as in the tutorial for the neuro ai summer school