Update README.md

README.md

@@ -5,6 +5,7 @@ language:
 tags:
 - agent
 ---
+
 <h1 align="center"> 🌊 OceanGym 🦾 </h1>
 <h3 align="center"> A Benchmark Environment for Underwater Embodied Agents </h3>
 
@@ -15,7 +16,7 @@ tags:
   ☁️ <a href="https://drive.google.com/drive/folders/1H7FTbtOCKTIEGp3R5RNsWvmxZ1oZxQih?usp=sharing" target="_blank">Google Drive</a>
 </p>
 
-  <img src="asset\img\o1.png" align=center>
+<img src="asset/img/o1.png" align=center>
 
 **OceanGym** is a high-fidelity embodied underwater environment that simulates a realistic ocean setting with diverse scenes. As illustrated in figure, OceanGym establishes a robust benchmark for evaluating autonomous agents through a series of challenging tasks, encompassing various perception analyses and decision-making navigation. The platform facilitates these evaluations by supporting multi-modal perception and providing action spaces for continuous control.
 
@@ -263,23 +264,29 @@ C:\Users\Windows\AppData\Local\holoocean\2.0.0\worlds\Ocean
 
 **1. If you're use it in first time, you have to compile it**
 
-  1-1. find the Holodeck.uproject in **engine** folder \
-  <img src="asset\img\pic1.png" style="width: 60%; height: auto;" align="center">
+  1-1. find the Holodeck.uproject in **engine** folder
+
+<img src="asset/img/pic1.png" style="width: 60%; height: auto;" align="center">
+
+  1-2. Right-click and select:Generate Visual Studio project files
+
+<img src="asset/img/pic2.png" style="width: 60%; height: auto;" align="center">
+
+  1-3. If the version is not 5.3.2,please choose the Switch Unreal Engine Version
+
+<img src="asset/img/pic3.png" style="width: 60%; height: auto;" align="center">
 
-  1-2. Right-click and select:Generate Visual Studio project files \
-    <img src="asset\img\pic2.png" style="width: 60%; height: auto;" align="center">
+  1-4. Then open the project
+  
+<img src="asset/img/pic4.png" style="width: 60%; height: auto;" align="center">
 
-  1-3. If the version is not 5.3.2,please choose the Switch Unreal Engine Version \
-    <img src="asset\img\pic3.png" style="width: 60%; height: auto;" align="center">
+**2. Then find the `HAIDI` map in `demo` directory**
 
-  1-4. Then open the project \
-    <img src="asset\img\pic4.png" style="width: 60%; height: auto;" align="center">
+<img src="asset/img/pic5.png" style="width: 60%; height: auto;" align="center">
 
-**2. Then find the `HAIDI` map in `demo` directory** \
-    <img src="asset\img\pic5.png" style="width: 60%; height: auto;" align="center">
+**3. Run the project**
 
-**3. Run the project** \
-    <img src="asset\img\pic6.png" style="width: 60%; height: auto;" align="center">
+<img src="asset/img/pic6.png" style="width: 60%; height: auto;" align="center">
 
 # 🧠 Decision Task
 
@@ -586,13 +593,13 @@ python perception/task/init_map_with_sonar.py \
 
 ## Decision Task
 
-  <img src="asset\img\t1.png" align=center>
+<img src="asset/img/t1.png" align=center>
 
 - This table is the performance in decision tasks requiring autonomous completion by MLLM-driven agents.
 
 ## Perception Task
 
-  <img src="asset\img\t2.png" align=center>
+<img src="asset/img/t2.png" align=center>
 
 - This table is the performance of perception tasks across different models and conditions.
 - Values represent accuracy percentages.