diff --git a/README.md b/README.md
index e9cf98e..62fb0e2 100644
--- a/README.md
+++ b/README.md
@@ -34,13 +34,10 @@ python main.py --env-name Humanoid-v2 --scale_R 20 --tau 1 --value_update 1000
 python main.py --env-name Humanoid-v2 --scale_R 20 --deterministic True --tau 1 --value_update 1000
 ```
 
-### TODO
+### Results
 ------------
+My results on Humanoid-v2 environment using SAC and SAC(deterministic, hard update).
+This is a plot of average rewards at every 10000 steps interval 
 
-- [x] Gaussian Policy
-- [x] Reparameterization
-- [x] Gaussian Mixture Model
-- [x] Use 2 Q-functions
-- [x] Evaluate the trained Policy
-- [ ] Deterministic Policy (hard target update)
+![sacs](https://user-images.githubusercontent.com/18737539/45400165-b2f42980-b668-11e8-8e2b-2b5cdc226204.jpeg)