diff --git a/advanced_source/custom_classes.rst b/advanced_source/custom_classes.rst
index 014bac2eebf..dbd4d85aa18 100644
--- a/advanced_source/custom_classes.rst
+++ b/advanced_source/custom_classes.rst
@@ -228,4 +228,4 @@ As always, if you run into any problems or have questions, you can use our
 `forum <https://discuss.pytorch.org/>`_ or `GitHub issues
 <https://github.com/pytorch/pytorch/issues>`_ to get in touch. Also, our
 `frequently asked questions (FAQ) page
-<https://pytorch.org/cppdocs/notes/faq.html>`_ may have helpful information.
+<https://docs.pytorch.org/cppdocs/faq.html>`_ may have helpful information.
diff --git a/intermediate_source/rpc_tutorial.rst b/intermediate_source/rpc_tutorial.rst
index 791ecf86d35..9de82ba42ef 100644
--- a/intermediate_source/rpc_tutorial.rst
+++ b/intermediate_source/rpc_tutorial.rst
@@ -59,7 +59,7 @@ Distributed Reinforcement Learning using RPC and RRef
 -----------------------------------------------------
 
 This section describes steps to build a toy distributed reinforcement learning
-model using RPC to solve CartPole-v1 from `OpenAI Gym <https://www.gymlibrary.dev/environments/classic_control/cart_pole/>`__.
+model using RPC to solve CartPole-v1 from `OpenAI Gym <https://gymnasium.farama.org/environments/classic_control/cart_pole/>`__.
 The policy code is mostly borrowed from the existing single-thread
 `example <https://github.com/pytorch/examples/blob/master/reinforcement_learning>`__
 as shown below. We will skip details of the ``Policy`` design, and focus on RPC