Update README.md

Author: YangRui2015

README.md

@@ -1,20 +1,20 @@
 # 2048 Environment for Reinforcement Learning
 
-Thanks to the author of gym-2048 https://github.com/rgal/gym-2048. The code is easy to understand and runs efficiently. I just made some little changes for a better RL environment.
+Thanks to the author of gym-2048 https://github.com/rgal/gym-2048. The code is easy to understand and runs efficiently. I just made some little changes to make it a better RL environment.
 
 
 ## Performance of environment
 I used random policy to evaluate the performance for 1000 times. We can take random policy as a baseline.  
-The eval main function is in base_agent.py.
+The evaluation main function is in base_agent.py.
 
-### (1) with render:  
+### (1) with rendering:  
 average episode time:0.10279795455932617 s;  
 average step time: 0.7373 ms；  
 average highest score:106.368;  
 average total score:1078.252;  
 average steps:139.417;  
 
-### (2) without render:  
+### (2) without rendering:  
 average episode time:0.03773710775375366 s;  
 average step time: 0.2671 ms；  
 average highest score:108.24;