fix tensorflow test simple rl

ml-agents/mlagents/trainers/tests/tensorflow/test_simple_rl.py

 
 @pytest.mark.parametrize("action_sizes", [(0, 2), (2, 0)])
 def test_2d_sac(action_sizes):
-    env = SimpleEnvironment(
-        [BRAIN_NAME], action_sizes=action_sizes, action_size=2, step_size=0.8
-    )
+    env = SimpleEnvironment([BRAIN_NAME], action_sizes=action_sizes, step_size=0.8)
     new_hyperparams = attr.evolve(SAC_TF_CONFIG.hyperparameters, buffer_init_steps=2000)
     config = attr.evolve(
         SAC_TF_CONFIG,

ml-agents/mlagents/trainers/tests/torch/test_simple_rl.py

 def test_visual_advanced_ppo(vis_encode_type, num_visual):
     env = SimpleEnvironment(
         [BRAIN_NAME],
-        action_sizes=True,
+        action_sizes=(0, 1),
         num_visual=num_visual,
         num_vector=0,
         step_size=0.5,
 def test_visual_advanced_sac(vis_encode_type, num_visual):
     env = SimpleEnvironment(
         [BRAIN_NAME],
-        action_sizes=True,
+        action_sizes=(0, 1),
         num_visual=num_visual,
         num_vector=0,
         step_size=0.5,