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fix: squeeze 3D action tensor in LinUCB learn_batch #129

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fix: squeeze 3D action tensor in LinUCB learn_batch #129

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2 changes: 1 addition & 1 deletion pearl/policy_learners/contextual_bandits/linear_bandit.py
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Original file line number Diff line number Diff line change
Expand Up @@ -150,7 +150,7 @@ def learn_batch(self, batch: TransitionBatch) -> dict[str, Any]:
if batch.weight is not None
else torch.ones_like(expected_values)
)
x = torch.cat([batch.state, batch.action], dim=1)
x = torch.cat([batch.state, torch.squeeze(batch.action, dim=1)], dim=1)
self.model.learn_batch(
x=x,
y=batch.reward,
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