[Doc] Fix links to tutos (#2409)

tutorials/README.md

@@ -1,21 +1,7 @@
 # Tutorials
 
-Get a sense of TorchRL functionalities through our tutorials.
+Get a sense of TorchRL functionalities through our [tutorials](https://pytorch.org/rl/stable/tutorials).
 
-For an overview of TorchRL, try the [TorchRL demo](https://pytorch.org/rl/tutorials/torchrl_demo.html).
+The ["Getting Started"](https://pytorch.org/rl/stable/index.html#getting-started) section will help you model your first training loop with the library!
 
-Make sure you test the [TensorDict tutorial](https://pytorch.org/rl/tutorials/tensordict_tutorial.html) to see what TensorDict
-is about and what it can do.
-
-To understand how to use `TensorDict` with pytorch modules, make sure to check out the [TensorDictModule tutorial](https://pytorch.org/rl/tutorials/tensordict_module.html).
-
-Check out the [environment tutorial](https://pytorch.org/rl/tutorials/torch_envs.html) for a deep dive in the envs
-functionalities.
-
-Read through our short tutorial on [multi-tasking](https://pytorch.org/rl/tutorials/multi_task.html) to see how you can execute diverse
-tasks in batch mode and build task-specific policies.
-This tutorial is also a good example of the advanced features of TensorDict stacking and
-indexing.
-
-Finally, the [DDPG tutorial](https://pytorch.org/rl/tutorials/coding_ddpg.html) and [DQN tutorial](https://pytorch.org/rl/tutorials/coding_dqn.html) will guide you through the steps to code 
-your first RL algorithms with TorchRL.
+The rest of the tutorials is split in [Basic](https://pytorch.org/rl/stable/index.html#basics), [Intermediate](https://pytorch.org/rl/stable/index.html#intermediate) and [Advanced](https://pytorch.org/rl/stable/index.html#advanced) sections.