diff --git a/src/js/ddpg/ddpg.js b/src/js/ddpg/ddpg.js
index 4c0eafd..82a93cc 100644
--- a/src/js/ddpg/ddpg.js
+++ b/src/js/ddpg/ddpg.js
@@ -1,5 +1,5 @@
 const { tf } = require('./tf_import')
-const {copyModel, Actor, Critic, assignAndStd } = require('./models')
+const { copyModel, Actor, Critic, assignAndStd, targetUpdate } = require('./models')
 
 function logTfMemory(){
     let mem = tf.memory();
@@ -210,7 +210,8 @@ class DDPG {
     getTfBatch(){
         // Get batch
         const batch = this.memory.popBatch(this.config.batchSize);
-        // Convert to tensors
+
+        // Convert to tensors        
         const tfActions = tf.tensor2d(batch.actions);
         const tfObs0 = tf.tensor2d(batch.obs0);
         const tfObs1 = tf.tensor2d(batch.obs1);
diff --git a/src/js/ddpg/ddpg_agent.js b/src/js/ddpg/ddpg_agent.js
index bf4ada1..f5c1a6b 100644
--- a/src/js/ddpg/ddpg_agent.js
+++ b/src/js/ddpg/ddpg_agent.js
@@ -141,8 +141,8 @@ class DDPGAgent {
         // Get actions
         const tfActions = this.ddpg.perturbedPrediction(tfPreviousStep);
         // Step in the environment with theses actions
-        let mAcions = tfActions.buffer().values;
-        let [mState, mReward, mDone, info] = this.env.step(mAcions);
+        let mActions = Array.from(tfActions.buffer().values);
+        let [mState, mReward, mDone, info] = this.env.step(mActions);
         this.rewardsList.push(mReward);
         // Get the new observations
         let tfState = tf.tensor2d([mState]);
@@ -150,7 +150,7 @@ class DDPGAgent {
             mDone = 1;
         }
         // Add the new tuple to the buffer
-        this.ddpg.memory.append(mPreviousStep, mAcions, mReward, mState, mDone);
+        this.ddpg.memory.append(mPreviousStep, mActions, mReward, mState, mDone);
         // Dispose tensors
         tfPreviousStep.dispose();
         tfActions.dispose();