Update L3_Vectorized__Environment.ipynb

docs/02_notebooks/L3_Vectorized__Environment.ipynb

@@ -7,7 +7,7 @@
    },
    "source": [
     "# Vectorized Environment\n",
-    "In reinforcement learning, the agent interacts with environments to improve itself. In this tutorial we will concentrate on the environment part. Although there are many kinds of environments or their libraries in DRL research, Tianshou chooses to keep a consistent API with [OPENAI Gym](https://gym.openai.com/).\n",
+    "In reinforcement learning, an agent engages with environments to enhance its performance. In this tutorial we will concentrate on the environment part. Although there are many kinds of environments or their libraries in DRL research, Tianshou chooses to keep a consistent API with [OPENAI Gym](https://gym.openai.com/).\n",
     "\n",
     "<div align=center>\n",
     "<img src=\"https://tianshou.readthedocs.io/en/master/_images/rl-loop.jpg\", title=\"The agents interacting with the environment\">\n",
@@ -200,7 +200,7 @@
     "Check the [documentation](https://tianshou.org/en/master/03_api/env/venvs.html) for details.\n",
     "\n",
     "### Difference between synchronous and asynchronous mode (How to choose?)\n",
-    "Explanation can be found at the [Parallel Sampling](https://tianshou.org/en/master/01_tutorials/07_cheatsheet.html#parallel-sampling) tutorial."
+    "For further insights, refer to the [Parallel Sampling](https://tianshou.org/en/master/01_tutorials/07_cheatsheet.html#parallel-sampling) tutorial."
    ]
   }
  ],