Replace gym with gymnasium

plotting.py

@@ -5,7 +5,7 @@
 from glob import glob
 from typing import List, Tuple
 
-import gym
+import gymnasium as gym
 import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd

requirements.txt

@@ -1,3 +1,3 @@
-room-env==1.0.1
+room-env==1.0.2
 pytorch-lightning==1.7.7
 tqdm

test/test_train_rl_agent.py

@@ -1,7 +1,7 @@
 import random
 import unittest
 
-import gym
+import gymnasium as gym
 import room_env
 
 from model import LSTM

train.py

@@ -11,13 +11,13 @@
 from multiprocessing.sharedctypes import Value
 from typing import Iterator, List, Tuple
 
-import gym
+import gymnasium as gym
 import numpy as np
 import room_env
 import torch
 import torch.optim as optim
 import yaml
-from gym import spaces
+from gymnasium import spaces
 from pytorch_lightning import LightningModule, Trainer
 from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
 from torch import Tensor, nn

v0/handcrafted-multi-agent.ipynb

@@ -12,7 +12,7 @@
     "logger.disabled = True\n",
     "\n",
     "from memory.agent import HandcraftedAgent\n",
-    "import gym\n",
+    "import gymnasium as gym\n",
     "import room_env"
    ]
   },

v0/handcrafted-single-agent.ipynb

@@ -60,7 +60,7 @@
    "source": [
     "from tqdm.notebook import tqdm\n",
     "import numpy as np\n",
-    "import gym\n",
+    "import gymnasium as gym\n",
     "\n",
     "env_params = {\n",
     "    \"room_size\": \"small\",\n",