Fix error in embedding

ml-agents/mlagents/trainers/torch/networks.py

             total_enc_size = sum(self.embedding_sizes)
             n_layers = max(1, network_settings.num_layers)
 
-        total_enc_size = sum(self.embedding_sizes) + encoded_act_size
+        total_enc_size += encoded_act_size
         self.linear_encoder = LinearEncoder(total_enc_size, n_layers, self.h_size)
 
         if self.use_lstm:
 
         # Constants don't work in Barracuda
         if actions is not None:
-            inputs = torch.cat(encodes + [actions], dim=-1)
-        else:
-            inputs = torch.cat(encodes, dim=-1)
-        encoding = self.linear_encoder(inputs)
+            encoded_self = torch.cat([encoded_self, actions], dim=1)
+        encoding = self.linear_encoder(encoded_self)
 
         if self.use_lstm:
             # Resize to (batch, sequence length, encoding size)