diff --git a/README.md b/README.md
index 7b660bc..4e37bf5 100644
--- a/README.md
+++ b/README.md
@@ -36,8 +36,7 @@ So far, the following benchmarks can be used for testing.
 ![atari100k](https://github.com/NM512/dreamerv3-torch/assets/70328564/0da6d899-d91d-44b4-a8c4-d5b37413aa11)
 
 #### Crafter
-<img src="https://github.com/NM512/dreamerv3-torch/assets/70328564/2a4d65d3-7e7b-4a95-b0cf-146d978054f0" width="300" height="150" />
-
+<img src="https://github.com/NM512/dreamerv3-torch/assets/70328564/a0626038-53f6-4300-a622-7ac257f4c290" width="300" height="150" />
 
 ## Acknowledgments
 This code is heavily inspired by the following works:
diff --git a/envs/minecraft.py b/envs/minecraft.py
index 59f13e7..338d31f 100644
--- a/envs/minecraft.py
+++ b/envs/minecraft.py
@@ -66,20 +66,22 @@ class MinecraftDiamond(gym.Wrapper):
             "place_furnace": dict(place="furnace"),
             "smelt_iron_ingot": dict(nearbySmelt="iron_ingot"),
         }
-        self.rewards = [
-            CollectReward("log", once=1),
-            CollectReward("planks", once=1),
-            CollectReward("stick", once=1),
-            CollectReward("crafting_table", once=1),
-            CollectReward("wooden_pickaxe", once=1),
-            CollectReward("cobblestone", once=1),
-            CollectReward("stone_pickaxe", once=1),
-            CollectReward("iron_ore", once=1),
-            CollectReward("furnace", once=1),
-            CollectReward("iron_ingot", once=1),
-            CollectReward("iron_pickaxe", once=1),
-            CollectReward("diamond", once=1),
-            HealthReward(),
+        self.items = [
+            "log",
+            "planks",
+            "stick",
+            "crafting_table",
+            "wooden_pickaxe",
+            "cobblestone",
+            "stone_pickaxe",
+            "iron_ore",
+            "furnace",
+            "iron_ingot",
+            "iron_pickaxe",
+            "diamond",
+        ]
+        self.rewards = [CollectReward(item, once=1) for item in self.items] + [
+            HealthReward()
         ]
         env = minecraft_base.MinecraftBase(actions, *args, **kwargs)
         super().__init__(env)
@@ -87,12 +89,24 @@ class MinecraftDiamond(gym.Wrapper):
     def step(self, action):
         obs, reward, done, info = self.env.step(action)
         reward = sum([fn(obs, self.env.inventory) for fn in self.rewards])
+        # restrict log for memory save
+        obs = {
+            k: v
+            for k, v in obs.items()
+            if "log" not in k or k.split("/")[-1] in self.items
+        }
         return obs, reward, done, info
 
     def reset(self):
         obs = self.env.reset()
         # called for reset of reward calculations
         _ = sum([fn(obs, self.env.inventory) for fn in self.rewards])
+        # restrict log for memory save
+        obs = {
+            k: v
+            for k, v in obs.items()
+            if "log" not in k or k.split("/")[-1] in self.items
+        }
         return obs
 
 
diff --git a/tools.py b/tools.py
index 1cfed7d..d5da141 100644
--- a/tools.py
+++ b/tools.py
@@ -84,7 +84,10 @@ class Logger:
         with (self._logdir / "metrics.jsonl").open("a") as f:
             f.write(json.dumps({"step": step, **dict(scalars)}) + "\n")
         for name, value in scalars:
-            self._writer.add_scalar("scalars/" + name, value, step)
+            if "/" not in name:
+                self._writer.add_scalar("scalars/" + name, value, step)
+            else:
+                self._writer.add_scalar(name, value, step)
         for name, value in self._images.items():
             self._writer.add_image(name, value, step)
         for name, value in self._videos.items():
@@ -203,6 +206,15 @@ def simulate(
                 length = len(cache[envs[i].id]["reward"]) - 1
                 score = float(np.array(cache[envs[i].id]["reward"]).sum())
                 video = cache[envs[i].id]["image"]
+                # record logs given from environments
+                for key in list(cache[envs[i].id].keys()):
+                    if "log_" in key:
+                        logger.scalar(
+                            key, float(np.array(cache[envs[i].id][key]).sum())
+                        )
+                        # log items won't be used later
+                        cache[envs[i].id].pop(key)
+
                 if not is_eval:
                     step_in_dataset = erase_over_episodes(cache, limit)
                     logger.scalar(f"dataset_size", step_in_dataset)