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In the process, we will touch three crucial components of TorchRL:
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- * `environments <https://pytorch.org/rl/reference/envs.html>`__
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- * `transforms <https://pytorch.org/rl/reference/envs.html#transforms>`__
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- * `models (policy and value function) <https://pytorch.org/rl/reference/modules.html>`__
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+ * `environments <https://pytorch.org/rl/stable/ reference/envs.html>`__
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+ * `transforms <https://pytorch.org/rl/stable/ reference/envs.html#transforms>`__
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+ * `models (policy and value function) <https://pytorch.org/rl/stable/ reference/modules.html>`__
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"""
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@@ -384,7 +384,7 @@ def _reset(self, tensordict):
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# convenient shortcuts to the content of the output and input spec containers.
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#
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# TorchRL offers multiple :class:`~torchrl.data.TensorSpec`
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- # `subclasses <https://pytorch.org/rl/reference/data.html#tensorspec>`_ to
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+ # `subclasses <https://pytorch.org/rl/stable/ reference/data.html#tensorspec>`_ to
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# encode the environment's input and output characteristics.
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#
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# Specs shape
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