backup wip
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@@ -54,7 +54,7 @@ class ActionChunkingTransformerPolicy(AbstractPolicy):
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Args:
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vae: Whether to use the variational objective. TODO(now): Give more details.
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temporal_agg: Whether to do temporal aggregation. For each timestep during rollout, the action
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returned as an exponential moving average of previously generated actions for that timestep.
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returned as an exponential moving average of previously generated actions for that timestep.
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n_obs_steps: Number of time steps worth of observation to use as input.
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horizon: The number of actions to generate in one forward pass.
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kl_weight: Weight for KL divergence. Defaults to None. Only applicable when using the variational
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@@ -120,7 +120,7 @@ class ActionChunkingTransformerPolicy(AbstractPolicy):
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"action": action.to(self.device, non_blocking=True),
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}
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return out
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start_time = time.time()
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batch = replay_buffer.sample(batch_size)
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