diff --git a/dreamer.py b/dreamer.py
index 5c8a17c..252194d 100644
--- a/dreamer.py
+++ b/dreamer.py
@@ -323,7 +323,8 @@ def main(config):
         agent.load_state_dict(torch.load(logdir / "latest_model.pt"))
         agent._should_pretrain._once = False
 
-    while agent._step < config.steps:
+    # make sure eval will be executed once after config.steps
+    while agent._step < config.steps + config.eval_every:
         logger.write()
         print("Start evaluation.")
         eval_policy = functools.partial(agent, training=False)