Deep Reinforcement Learning
Collection
From beginner to expert projects and models.
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20 items
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Updated
Q-Learning Agent playing FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
Usage
model = load_from_hub(repo_id="kingabzpro/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"])
Collection including kingabzpro/q-FrozenLake-v1-4x4-noSlippery
Evaluation results
- mean_reward on FrozenLake-v1-4x4-no_slipperyself-reported1.00 +/- 0.00