diff --git a/README.md b/README.md
index 4c5ba36d..a933b5fe 100644
--- a/README.md
+++ b/README.md
@@ -62,6 +62,7 @@ Paper link: [https://arxiv.org/pdf/2312.16248.pdf](https://arxiv.org/pdf/2312.16
 - :key: High compatibility for different users. (PyTorch, TensorFlow2, MindSpore, CPU, GPU, Linux, Windows, MacOS, etc.)
 - :zap: Fast running speed with parallel environments. 
 - :computer: Distributed training with multi-GPUs.
+- 🎛️: Support automatically hyperparameters tuning.
 - :chart_with_upwards_trend: Good visualization effect with [tensorboard](https://www.tensorflow.org/tensorboard) or [wandb](https://wandb.ai/site) tool.
 
 ## Currently Included Algorithms
diff --git a/docs/source/index.rst b/docs/source/index.rst
index fb931ece..6eb34f44 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -99,6 +99,7 @@ Here are its key features:
 - **Broad Compatibility**: Supports PyTorch, TensorFlow, MindSpore, and runs efficiently on CPU, GPU, and across Linux, Windows, and macOS.
 - **High Performance**: Delivers fast execution speeds, leveraging vectorized environments for efficiency.
 - **Distributed Training**: Enables multi-GPU training for scaling up experiments.
+- **Hyperparameters Tuning**: Supports automatic tuning tools that guide hyperparameter configuration.
 - **Enhanced Visualization**: Provides intuitive and comprehensive visualization with tools like TensorBoard and Weights & Biases (wandb).
 
 List of Algorithms