Update README.md

README.md

@@ -22,14 +22,24 @@ model-index:
   # **Q-Learning** Agent playing **FrozenLake-v1**
   This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
   
-  ## Usage
-  ```python
-  model = load_from_hub(repo_id="SimingSiming/q-FrozenLake-v1-8x8-non_slippery", filename="q-learning.pkl")
 
-  # Don't forget to check if you need to add additional attributes (is_slippery=False etc)
-  env = gym.make(model["env_id"])
+n_training_episodes = 200000  # Total training episodes
+learning_rate = 0.8          # Learning rate
 
-  evaluate_agent(env, model["max_steps"], model["n_eval_episodes"], model["qtable"], model["eval_seed"])
+# Evaluation parameters
+n_eval_episodes = 100        # Total number of test episodes
+
+# Environment parameters
+env_id = "FrozenLake-v1"     # Name of the environment
+max_steps = 100               # Max steps per episode
+gamma = 0.99                 # Discounting rate
+eval_seed = []               # The evaluation seed of the environment
+
+# Exploration parameters
+epsilon = 1.0                 # Exploration rate
+max_epsilon = 1.0             # Exploration probability at start
+min_epsilon = 0.05            # Minimum exploration probability 
+decay_rate = 0.00005            # Exponential decay rate for exploration prob
   
   ```