fix typo; refine readme (#190)

examples/NeurIPS2018-AI-for-Prosthetics-Challenge/README.md

@@ -37,7 +37,7 @@ For final submission, we test our model in 500 CPUs, running 10 episodes per CPU
 - How to Run
 
   1. Enter the sub-folder `final_submit`
-  2. Download the model file from online stroage service, [Baidu Pan](https://pan.baidu.com/s/1NN1auY2eDblGzUiqR8Bfqw) or [Google Drive](https://drive.google.com/open?id=1DQHrwtXzgFbl9dE7jGOe9ZbY0G9-qfq3) 
+  2. Download the model file from online storage service, [Baidu Pan](https://pan.baidu.com/s/1NN1auY2eDblGzUiqR8Bfqw) or [Google Drive](https://drive.google.com/open?id=1DQHrwtXzgFbl9dE7jGOe9ZbY0G9-qfq3) 
   3. Unpack the file by using: 
            `tar zxvf saved_model.tar.gz`
   4. Launch the test script: 

examples/NeurIPS2019-Learn-to-Move-Challenge/README.md

@@ -16,7 +16,7 @@ The **PARL** team gets the first place in NeurIPS reinforcement learning competi
 - How to Run
 
   1. Enter the sub-folder `final_submit`
-  2. Download the model file from online stroage service: [Baidu Pan](https://pan.baidu.com/s/12LIPspckCT8-Q5U1QX69Fg) (password: `b5ck`) or [Google Drive](https://drive.google.com/file/d/1jJtOcOVJ6auz3s-TyWgUJvofPXI94yxy/view?usp=sharing)
+  2. Download the model file from online storage service: [Baidu Pan](https://pan.baidu.com/s/12LIPspckCT8-Q5U1QX69Fg) (password: `b5ck`) or [Google Drive](https://drive.google.com/file/d/1jJtOcOVJ6auz3s-TyWgUJvofPXI94yxy/view?usp=sharing)
   3. Unpack the file:
            `tar zxvf saved_models.tar.gz`
   4. Launch the test script:
@@ -28,7 +28,7 @@ The **PARL** team gets the first place in NeurIPS reinforcement learning competi
 #### 1. Run as fast as possible -> run at 3.0 m/s -> walk at 2.0 m/s -> walk slowly at 1.3 m/s
 The curriculum learning pipeline to get a walking slowly model is the same pipeline in [our winning solution in NeurIPS 2018: AI for Prosthetics Challenge](https://github.com/PaddlePaddle/PARL/tree/develop/examples/NeurIPS2018-AI-for-Prosthetics-Challenge). You can get a walking slowly model by following the [guide](https://github.com/PaddlePaddle/PARL/tree/develop/examples/NeurIPS2018-AI-for-Prosthetics-Challenge#part2-curriculum-learning).
 
-We also provide a pre-trained model that walk naturally at ~1.3m/s. You can download the model file (naming `low_speed_model`) from online stroage service: [Baidu Pan](https://pan.baidu.com/s/1Mi_6bD4QxLWLdyLYe2GRFw) (password: `q9vj`) or [Google Drive](https://drive.google.com/file/d/1_cz6Cg3DAT4u2a5mxk2vP9u8nDWOE7rW/view?usp=sharing).
+We also provide a pre-trained model that walk naturally at ~1.3m/s. You can download the model file (naming `low_speed_model`) from online storage service: [Baidu Pan](https://pan.baidu.com/s/1Mi_6bD4QxLWLdyLYe2GRFw) (password: `q9vj`) or [Google Drive](https://drive.google.com/file/d/1_cz6Cg3DAT4u2a5mxk2vP9u8nDWOE7rW/view?usp=sharing).
 
 #### 2. difficulty=1
 > We built our distributed training agent based on PARL cluster. To start a PARL cluster, we can execute the following two xparl commands:
@@ -54,6 +54,7 @@ xparl start --port 8010 --cpu_num 300
 
 Then, we can start the distributed training by running:
 ```bash
+# NOTE: You need provide a self-trained model, or download the `low_speed_model` as mentioned above.
 sh scripts/train_difficulty1.sh ./low_speed_model
 ```
 
@@ -64,15 +65,15 @@ sh scripts/eval_difficulty1.sh
 
 #### 3. difficulty=2
 ```bash
-sh scripts/train_difficulty2.sh [DIFFICULTY=1 MODEL]
+sh scripts/train_difficulty2.sh [TRAINED DIFFICULTY=1 MODEL]
 ```
 
 #### 4. difficulty=3, first target
 ```bash
-sh scripts/train_difficulty3_first_target.sh [DIFFICULTY=2 MODEL]
+sh scripts/train_difficulty3_first_target.sh [TRAINED DIFFICULTY=2 MODEL]
 ```
 
 #### 5. difficulty=3
 ```bash
-sh scripts/train_difficulty3.sh [DIFFICULTY=3 FIRST TARGET MODEL]
+sh scripts/train_difficulty3.sh [TRAINED DIFFICULTY=3 FIRST TARGET MODEL]
 ```