diff --git a/docs/source/example_overview.md b/docs/source/example_overview.md
index 8d4ee5b2400..5b5b4cdff6e 100644
--- a/docs/source/example_overview.md
+++ b/docs/source/example_overview.md
@@ -54,6 +54,9 @@ Scripts are maintained in the [`trl/scripts`](https://github.com/huggingface/trl
 | [`examples/scripts/nash_md.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/nash_md.py) | This script shows how to use the [`experimental.nash_md.NashMDTrainer`] to fine-tune a model. |
 | [`examples/scripts/online_dpo.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/online_dpo.py) | This script shows how to use the [`OnlineDPOTrainer`] to fine-tune a model. |
 | [`examples/scripts/online_dpo_vlm.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/online_dpo_vlm.py) | This script shows how to use the [`OnlineDPOTrainer`] to fine-tune a a Vision Language Model. |
+| [`examples/scripts/openenv/catch.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/openenv/catch.py) | Simple script to run GRPO training via the [`GRPOTrainer`] with OpenEnv's Catch environment (OpenSpiel) and vLLM |
+| [`examples/scripts/openenv/echo.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/openenv/echo.py) | Simple script to run GRPO training via the [`GRPOTrainer`] with OpenEnv's Echo environment and vLLM. |
+| [`examples/scripts/openenv/wordle.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/openenv/wordle.py) | Simple script to run GRPO training via the [`GRPOTrainer`] with OpenEnv's Wordle environment and vLLM. |
 | [`examples/scripts/orpo.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/orpo.py) | This script shows how to use the [`ORPOTrainer`] to fine-tune a model to increase helpfulness and harmlessness using the [Anthropic/hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf) dataset. |
 | [`examples/scripts/ppo/ppo.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/ppo/ppo.py) | This script shows how to use the [`experimental.ppo.PPOTrainer`] to fine-tune a model to improve its ability to continue text with positive sentiment or physically descriptive language. |
 | [`examples/scripts/ppo/ppo_tldr.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/ppo/ppo_tldr.py) | This script shows how to use the [`experimental.ppo.PPOTrainer`] to fine-tune a model to improve its ability to generate TL;DR summaries. |
diff --git a/docs/source/openenv.md b/docs/source/openenv.md
index 6829627dcfd..a20d9a85fc3 100644
--- a/docs/source/openenv.md
+++ b/docs/source/openenv.md
@@ -6,6 +6,9 @@
 
 In this guide, we’ll focus on **how to integrate OpenEnv with TRL**, but feel free to explore the links above to dive deeper into OpenEnv itself.
 
+> [!NOTE]
+> You can explore ready-to-use example scripts in the [`examples/scripts/openenv/`](https://github.com/huggingface/trl/blob/main/examples/scripts/openenv/) directory.
+
 ## Installation
 
 To use OpenEnv with TRL, install the framework: