links

Author: hengtaoguo

docs/tutorials/posttraining/rl.md

@@ -29,7 +29,7 @@ For efficient model inference and response generation during this process, we re
 Let's get started!
 
 ## Create virtual environment and Install MaxText dependencies
-If you have already completed the [MaxText installation](https://maxtext.readthedocs.io/en/latest/install_maxtext.html), you can skip to the next section for post-training dependencies installations. Otherwise, please install `MaxText` using the following commands before proceeding.
+If you have already completed the [MaxText installation](../../install_maxtext.md), you can skip to the next section for post-training dependencies installations. Otherwise, please install `MaxText` using the following commands before proceeding.
 ```bash
 # 1. Clone the repository
 git clone https://github.com/AI-Hypercomputer/maxtext.git

docs/tutorials/posttraining/rl_on_multi_host.md

@@ -116,7 +116,7 @@ bash dependencies/scripts/docker_upload_runner.sh CLOUD_IMAGE_NAME=${CLOUD_IMAGE
 
 ## Submit your RL workload via Pathways
 
-Please create a pathways ready GKE cluster as described [here](https://docs.cloud.google.com/ai-hypercomputer/docs/workloads/pathways-on-cloud/create-gke-cluster), and you can submit the `train_rl.py` script via [XPK](https://github.com/AI-Hypercomputer/xpk). We also provide a quick guide for XPK installation and usage [here](https://maxtext.readthedocs.io/en/latest/run_maxtext/run_maxtext_via_xpk.html).
+Please create a pathways ready GKE cluster as described [here](https://docs.cloud.google.com/ai-hypercomputer/docs/workloads/pathways-on-cloud/create-gke-cluster), and you can submit the `train_rl.py` script via [XPK](https://github.com/AI-Hypercomputer/xpk). We also provide a quick guide for XPK installation and usage [here](../../run_maxtext/run_maxtext_via_xpk.md).
 
 ### Submit GRPO workload
 ```