
  # **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="BigTimeCoderSean/q-FrozenLake-v1-4x4-noSlippery", 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"])

  evaluate_agent(env, model["max_steps"], model["n_eval_episodes"], model["qtable"], model["eval_seed"])
  
  ```
  
{"tags": ["FrozenLake-v1-4x4", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4", "type": "FrozenLake-v1-4x4"}, "metrics": [{"type": "mean_reward", "value": "0.74 +/- 0.44", "name": "mean_reward"}]}]}]}
FrozenLake-v1-4x4 q-learning reinforcement-learning custom-implementation model-index region:us
TAGS
#FrozenLake-v1-4x4 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us 


  # Q-Learning Agent playing FrozenLake-v1
  This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
  
  ## Usage
  
  
# Q-Learning Agent playing FrozenLake-v1
  This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
  
  ## Usage
TAGS
#FrozenLake-v1-4x4 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us 
 # Q-Learning Agent playing FrozenLake-v1
  This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
  
  ## Usage
TAGS
#FrozenLake-v1-4x4 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us 
# Q-Learning Agent playing FrozenLake-v1
  This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
  
  ## Usage