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@@ -23,23 +23,23 @@ model-index:
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  This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
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- n_training_episodes = 200000 # Total training episodes
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- learning_rate = 0.8 # Learning rate
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  # Evaluation parameters
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- n_eval_episodes = 100 # Total number of test episodes
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- # Environment parameters
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- env_id = "FrozenLake-v1" # Name of the environment
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- max_steps = 100 # Max steps per episode
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- gamma = 0.99 # Discounting rate
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- eval_seed = [] # The evaluation seed of the environment
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- # Exploration parameters
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- epsilon = 1.0 # Exploration rate
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- max_epsilon = 1.0 # Exploration probability at start
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- min_epsilon = 0.05 # Minimum exploration probability
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- decay_rate = 0.00005 # Exponential decay rate for exploration prob
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  ```
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  This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
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+ n_training_episodes = 200000 # Total training episodes <br>
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+ learning_rate = 0.8 # Learning rate <br>
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  # Evaluation parameters
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+ n_eval_episodes = 100 # Total number of test episodes <br>
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+ # Environment parameters <br>
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+ env_id = "FrozenLake-v1" # Name of the environment <br>
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+ max_steps = 100 # Max steps per episode <br>
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+ gamma = 0.99 # Discounting rate <br>
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+ eval_seed = [] # The evaluation seed of the environment <br>
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+ # Exploration parameters <br>
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+ epsilon = 1.0 # Exploration rate <br>
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+ max_epsilon = 1.0 # Exploration probability at start <br>
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+ min_epsilon = 0.05 # Minimum exploration probability <br>
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+ decay_rate = 0.00005 # Exponential decay rate for exploration prob <br>
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  ```
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