diff --git a/.teamcity/Dockerfile b/.teamcity/Dockerfile
index 85d8a2f37e0db3472d1ad02ab06fb7a80fd72c3a..e5422e8ec25afdd842dee657cce38c0f15b59b57 100644
--- a/.teamcity/Dockerfile
+++ b/.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/
 
diff --git a/.teamcity/build.sh b/.teamcity/build.sh
index 34092a605f01fd5d11040ba30de7b2c84ba4ca09..9b8b7a3e7f9f8b0b925399c0938feb117e41b097 100755
--- a/.teamcity/build.sh
+++ b/.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 ..
diff --git a/README.md b/README.md
index 4e7a956a08e592c2e9612c8ad37f15631483b228..971f91867a4c0603871b0b6fc8b894497d848123 100644
--- a/README.md
+++ b/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