Update README.md (#68)

* Update README.md

* Update Dockerfile

* Update build.sh

.teamcity/Dockerfile

@@ -15,7 +15,7 @@
 
 # A dev image based on paddle production image
 
-FROM parl/parl-test:cuda9.0-cudnn7
+FROM parl/parl-test:1.1-cuda9.0-cudnn7
 
 COPY ./requirements.txt /root/
 

.teamcity/build.sh

@@ -56,6 +56,8 @@ function check_style() {
 }
 
 function run_test_with_gpu() {
+    export FLAGS_fraction_of_gpu_memory_to_use=0.5
+    
     mkdir -p ${REPO_ROOT}/build
     cd ${REPO_ROOT}/build
     cmake ..

README.md

@@ -69,7 +69,7 @@ agent = AtariAgent(algorithm)
 
 # Parallelization
 PARL provides a compact API for distributed training, allowing users to transfer the code into a parallelized version by simply adding a decorator.  
-Here is a `Hello World` example to demonstrate how easily it is to leverage outer computation resources.
+Here is a `Hello World` example to demonstrate how easy it is to leverage outer computation resources.
 ```python
 #============Agent.py=================
 @parl.remote_class