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2626We will cover six crucial components of TorchRL:
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28- * `environments <https://pytorch.org/rl/reference/envs.html>`__
29- * `transforms <https://pytorch.org/rl/reference/envs.html#transforms>`__
30- * `models (policy and value function) <https://pytorch.org/rl/reference/modules.html>`__
31- * `loss modules <https://pytorch.org/rl/reference/objectives.html>`__
32- * `data collectors <https://pytorch.org/rl/reference/collectors.html>`__
33- * `replay buffers <https://pytorch.org/rl/reference/data.html#replay-buffers>`__
28+ * `environments <https://docs. pytorch.org/rl/stable /reference/envs.html>`__
29+ * `transforms <https://docs. pytorch.org/rl/stable /reference/envs.html#transforms>`__
30+ * `models (policy and value function) <https://docs. pytorch.org/rl/stable /reference/modules.html>`__
31+ * `loss modules <https://docs. pytorch.org/rl/stable /reference/objectives.html>`__
32+ * `data collectors <https://docs. pytorch.org/rl/stable /reference/collectors.html>`__
33+ * `replay buffers <https://docs. pytorch.org/rl/stable /reference/data.html#replay-buffers>`__
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3535"""
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466466# Data collector
467467# --------------
468468#
469- # TorchRL provides a set of `DataCollector classes <https://pytorch.org/rl/reference/collectors.html>`__.
469+ # TorchRL provides a set of `DataCollector classes <https://docs. pytorch.org/rl/stable /reference/collectors.html>`__.
470470# Briefly, these classes execute three operations: reset an environment,
471471# compute an action given the latest observation, execute a step in the environment,
472472# and repeat the last two steps until the environment signals a stop (or reaches
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