docs: example links agents (#52)

README.md

@@ -49,7 +49,7 @@ Paper link: [https://arxiv.org/pdf/2312.16248.pdf](https://arxiv.org/pdf/2312.16
 - :school_satchel: Highly modularized.
 - :thumbsup: Easy to [learn](https://xuance.readthedocs.io/en/latest/), easy for [installation](https://xuance.readthedocs.io/en/latest/documents/usage/installation.html), and easy for [usage](https://xuance.readthedocs.io/en/latest/documents/usage/basic_usage.html).
 - :twisted_rightwards_arrows: Flexible for model combination.
-- :tada: Abundant [algorithms](https://xuance.readthedocs.io/en/latest/documents/api/agents.html) with various tasks.
+- :tada: Abundant [algorithms](https://xuance.readthedocs.io/en/latest/documents/api/agents/agents.html) with various tasks.
 - :couple: Supports both DRL and MARL tasks.
 - :key: High compatibility for different users. (PyTorch, TensorFlow2, MindSpore, CPU, GPU, Linux, Windows, MacOS, etc.)
 - :zap: Fast running speed with parallel environments. 
@@ -464,4 +464,4 @@ Welcome to join the official communication group with QQ app (Group number: 5524
   journal={arXiv preprint arXiv:2312.16248},
   year={2023}
 }
-```
+```

docs/source/documents/usage/further_usage.rst

@@ -237,6 +237,6 @@ After finishing the above three steps, you can run the `python_mujoco.py` file i
 
 The source code of this example can be visited at the following link:
 
-`https://github.com/agi-brain/xuance/examples/ppo/ppo_mujoco.py <https://github.com/agi-brain/xuance/examples/ppo/ppo_mujoco.py/>`_
+`https://github.com/agi-brain/xuance/blob/master/examples/ppo/ppo_mujoco.py <https://github.com/agi-brain/xuance/blob/master/examples/ppo/ppo_mujoco.py>`_