evolutionary policy optimization on dreams will be interesting
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@ -2543,6 +2543,7 @@ class DynamicsWorldModel(Module):
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batch_size = 1,
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batch_size = 1,
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agent_index = 0,
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agent_index = 0,
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tasks: int | Tensor | None = None,
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tasks: int | Tensor | None = None,
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latent_gene_ids = None,
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image_height = None,
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image_height = None,
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image_width = None,
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image_width = None,
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return_decoded_video = None,
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return_decoded_video = None,
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@ -2658,6 +2659,7 @@ class DynamicsWorldModel(Module):
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step_sizes = step_size,
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step_sizes = step_size,
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rewards = decoded_rewards,
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rewards = decoded_rewards,
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tasks = tasks,
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tasks = tasks,
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latent_gene_ids = latent_gene_ids,
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discrete_actions = decoded_discrete_actions,
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discrete_actions = decoded_discrete_actions,
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continuous_actions = decoded_continuous_actions,
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continuous_actions = decoded_continuous_actions,
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proprio = noised_proprio_with_context,
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proprio = noised_proprio_with_context,
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@ -1,6 +1,6 @@
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[project]
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[project]
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name = "dreamer4"
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name = "dreamer4"
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version = "0.0.89"
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version = "0.0.90"
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description = "Dreamer 4"
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description = "Dreamer 4"
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authors = [
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authors = [
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{ name = "Phil Wang", email = "lucidrains@gmail.com" }
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{ name = "Phil Wang", email = "lucidrains@gmail.com" }
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