Adding links to the tutorials section #1256 (#1266)

docs/tutorials/README.rst

@@ -1,2 +1,7 @@
 Tutorials
 =========
+In this section, we cover some of the most well-known benchmarks of RL including the Frozen Lake, Black Jack, and Training using REINFORCE for Mujoco.
+
+Additionally, we provide a guide on how to load custom quadruped robot environments, implementing custom wrappers, creating custom environments, handling time limits, and training A2C with Vector Envs and Domain Randomization.
+
+Lastly, there is a guide on third-party integrations with Gymnasium.

docs/tutorials/gymnasium_basics/README.rst

@@ -1,5 +1,14 @@
-Gymnasium Basics
+Gymnasium Basics Documentation Links
 ----------------
+Load custom quadruped robot environments link: https://gymnasium.farama.org/tutorials/gymnasium_basics/load_quadruped_model/
+
+Implementing Custom Wrappers link: https://gymnasium.farama.org/tutorials/gymnasium_basics/implementing_custom_wrappers/
+
+Make your own custom environment(environment_creation.py): https://gymnasium.farama.org/tutorials/gymnasium_basics/environment_creation/
+
+Handling Time Limits: https://gymnasium.farama.org/tutorials/gymnasium_basics/handling_time_limits/
+
+Training A2C with Vector Envs and Domain Randomization: https://gymnasium.farama.org/tutorials/gymnasium_basics/vector_envs_tutorial/
 
 .. toctree::
    :hidden:

docs/tutorials/training_agents/README.rst

@@ -1,2 +1,7 @@
-Training Agents
----------------
+Training Agents links in the Gymnasium Documentation
+-----------------------------------------------------
+Solving Blackjack with Q-Learning link: https://gymnasium.farama.org/tutorials/training_agents/blackjack_tutorial/
+
+Frozen Lake Benchmark link: https://gymnasium.farama.org/tutorials/training_agents/FrozenLake_tuto/
+
+Training using REINFORCE for Mujoco link: https://gymnasium.farama.org/tutorials/training_agents/reinforce_invpend_gym_v26/