diff --git a/rl_games/algos_torch/a2c_discrete.py b/rl_games/algos_torch/a2c_discrete.py
index 9bfda767..4f911437 100644
--- a/rl_games/algos_torch/a2c_discrete.py
+++ b/rl_games/algos_torch/a2c_discrete.py
@@ -49,7 +49,6 @@ def __init__(self, base_name, params):
                 'config' : self.central_value_config, 
                 'writter' : self.writer,
                 'max_epochs' : self.max_epochs,
-                'max_frames' : self.max_frames,
                 'multi_gpu' : self.multi_gpu,
                 'zero_rnn_on_done' : self.zero_rnn_on_done
             }
diff --git a/rl_games/common/a2c_common.py b/rl_games/common/a2c_common.py
index 93900668..a085abf1 100644
--- a/rl_games/common/a2c_common.py
+++ b/rl_games/common/a2c_common.py
@@ -685,8 +685,8 @@ def play_steps(self):
             self.current_rewards += rewards
             self.current_lengths += 1
             all_done_indices = self.dones.nonzero(as_tuple=False)
-            env_done_indices = self.dones.view(self.num_actors, self.num_agents).all(dim=1).nonzero(as_tuple=False)
-
+            env_done_indices = all_done_indices[::self.num_agents]
+     
             self.game_rewards.update(self.current_rewards[env_done_indices])
             self.game_lengths.update(self.current_lengths[env_done_indices])
             self.algo_observer.process_infos(infos, env_done_indices)
@@ -755,7 +755,8 @@ def play_steps_rnn(self):
             self.current_rewards += rewards
             self.current_lengths += 1
             all_done_indices = self.dones.nonzero(as_tuple=False)
-            env_done_indices = self.dones.view(self.num_actors, self.num_agents).all(dim=1).nonzero(as_tuple=False)
+            env_done_indices = all_done_indices[::self.num_agents]
+
             if len(all_done_indices) > 0:
                 if self.zero_rnn_on_done:
                     for s in self.rnn_states:
diff --git a/rl_games/configs/smac/3m_torch.yaml b/rl_games/configs/smac/3m_torch.yaml
index 28b7b800..10bf9f2e 100644
--- a/rl_games/configs/smac/3m_torch.yaml
+++ b/rl_games/configs/smac/3m_torch.yaml
@@ -42,6 +42,7 @@ params:
     lr_schedule: None
     kl_threshold: 0.05
     normalize_input: True
+    #normalize_value: True
     use_action_masks: True
     ignore_dead_batches : False
 
@@ -49,4 +50,5 @@ params:
       name: 3m
       frames: 1
       transpose: False
-      random_invalid_step: False
\ No newline at end of file
+      random_invalid_step: False
+      obs_last_action: True
\ No newline at end of file
diff --git a/rl_games/envs/smac_env.py b/rl_games/envs/smac_env.py
index c36f4ca6..a4039e55 100644
--- a/rl_games/envs/smac_env.py
+++ b/rl_games/envs/smac_env.py
@@ -6,14 +6,14 @@
 class SMACEnv(gym.Env):
     def __init__(self, name="3m",  **kwargs):
         gym.Env.__init__(self)
-        self.seed = kwargs.pop('seed', None)
+        self._seed = kwargs.pop('seed', None)
         self.reward_sparse = kwargs.get('reward_sparse', False)
         self.use_central_value = kwargs.pop('central_value', False)
         self.concat_infos = True
         self.random_invalid_step = kwargs.pop('random_invalid_step', False)
         self.replay_save_freq = kwargs.pop('replay_save_freq', 10000)
-        self.apply_agent_ids = kwargs.pop('apply_agent_ids', False)
-        self.env = StarCraft2Env(map_name=name, seed=self.seed, **kwargs)
+        self.apply_agent_ids = kwargs.pop('apply_agent_ids', True)
+        self.env = StarCraft2Env(map_name=name, seed=self._seed, **kwargs)
         self.env_info = self.env.get_env_info()
 
         self._game_num = 0
@@ -101,6 +101,6 @@ def get_action_mask(self):
     def has_action_mask(self):
         return not self.random_invalid_step
 
-    def seed(self, val):
+    def seed(self, _):
         pass