Change learning rate

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

     new_hyperparams = attr.evolve(
         SAC_TORCH_CONFIG.hyperparameters,
         batch_size=256,
-        learning_rate=1e-3,
+        learning_rate=1e-4,
         buffer_init_steps=1000,
         steps_per_update=2,
     )
         network_settings=new_networksettings,
-        max_steps=3000,
+        max_steps=4000,
-    check_environment_trains(env, {BRAIN_NAME: config}, training_seed=1212)
+    check_environment_trains(env, {BRAIN_NAME: config}, training_seed=1213)
 
 
 @pytest.mark.parametrize("action_sizes", [(0, 1), (1, 0)])