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Fix linter issue
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@@ -224,7 +224,7 @@ def act_with_policy(
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logging.info("make_policy")
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### Instantiate the policy in both the actor and learner processes
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### To avoid sending a SACPolicy object through the port, we create a policy intance
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### To avoid sending a SACPolicy object through the port, we create a policy instance
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### on both sides, the learner sends the updated parameters every n steps to update the actor's parameters
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# TODO: At some point we should just need make sac policy
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policy: SACPolicy = make_policy(
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@@ -278,7 +278,7 @@ def act_with_policy(
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# Increment total steps counter for intervention rate
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episode_total_steps += 1
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# NOTE: We overide the action if the intervention is True, because the action applied is the intervention action
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# NOTE: We override the action if the intervention is True, because the action applied is the intervention action
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if "is_intervention" in info and info["is_intervention"]:
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# TODO: Check the shape
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# NOTE: The action space for demonstration before hand is with the full action space
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