add RL training which doesnt work that wall yet, and start to make UI for model training

train.py

@@ -0,0 +1,20 @@
+from stable_baselines3 import PPO
+from utils.ml import SpaceInvadersEnv
+
+env = SpaceInvadersEnv()
+model = PPO(
+    "MlpPolicy", 
+    env, 
+    n_steps=2048,
+    batch_size=64,
+    n_epochs=10,
+    learning_rate=3e-4,
+    verbose=1, 
+    device="cpu", 
+    gamma=0.99, 
+    ent_coef=0.02,
+    clip_range=0.2,
+    gae_lambda=0.95
+)
+model.learn(1_000_000)
+model.save("invader_agent")