increase bullets to 40

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

             #     self.h_size
             #     )
             self.entity_embedding = EntityEmbeddings(
-                x_self_len, entities_sizes, [20], self.n_embd  # , concat_self=False
+                x_self_len, entities_sizes, [40], self.n_embd  # , concat_self=False
-            self.transformer = ResidualSelfAttention(self.n_embd, [20])
+            self.transformer = ResidualSelfAttention(self.n_embd, [40])
             # self.transformer = SmallestAttention(x_self_len, entities_sizes, self.h_size, self.h_size)
             # self.transformer = SmallestAttention(64, [64], self.h_size, self.h_size)
             # self.use_fc = True