diff --git a/README.md b/README.md
index adca3d7..c7d4483 100644
--- a/README.md
+++ b/README.md
@@ -48,15 +48,15 @@ The master branch supports Tensorflow from version 1.4 to 1.14. For Tensorflow 2
     git clone https://github.com/openai/baselines.git
     cd baselines
     ```
-- If you don't have TensorFlow installed already, install your favourite flavor of TensorFlow. In most cases, 
+- If you don't have TensorFlow installed already, install your favourite flavor of TensorFlow. In most cases, you may use
     ```bash 
-    pip install tensorflow-gpu # if you have a CUDA-compatible gpu and proper drivers
+    pip install tensorflow-gpu==1.14 # if you have a CUDA-compatible gpu and proper drivers
     ```
     or 
     ```bash
-    pip install tensorflow
+    pip install tensorflow==1.14
     ```
-    should be sufficient. Refer to [TensorFlow installation guide](https://www.tensorflow.org/install/)
+    to install Tensorflow 1.14, which is the latest version of Tensorflow supported by the master branch. Refer to [TensorFlow installation guide](https://www.tensorflow.org/install/)
     for more details. 
 
 - Install baselines package
diff --git a/baselines/run.py b/baselines/run.py
index e1b11a5..33bb15f 100644
--- a/baselines/run.py
+++ b/baselines/run.py
@@ -226,7 +226,7 @@ def main(args):
         state = model.initial_state if hasattr(model, 'initial_state') else None
         dones = np.zeros((1,))
 
-        episode_rew = 0
+        episode_rew = np.zeros(env.num_envs) if isinstance(env, VecEnv) else np.zeros(1)
         while True:
             if state is not None:
                 actions, _, state, _ = model.step(obs,S=state, M=dones)
@@ -234,13 +234,13 @@ def main(args):
                 actions, _, _, _ = model.step(obs)
 
             obs, rew, done, _ = env.step(actions)
-            episode_rew += rew[0] if isinstance(env, VecEnv) else rew
+            episode_rew += rew
             env.render()
-            done = done.any() if isinstance(done, np.ndarray) else done
-            if done:
-                print('episode_rew={}'.format(episode_rew))
-                episode_rew = 0
-                obs = env.reset()
+            done_any = done.any() if isinstance(done, np.ndarray) else done
+            if done_any:
+                for i in np.nonzero(done)[0]:
+                    print('episode_rew={}'.format(episode_rew[i]))
+                    episode_rew[i] = 0
 
     env.close()