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linker81/
q-learning-FrozenLake-v1-4x4-slipperyparams_v2

Name: q-learning-FrozenLake-v1-4x4-slipperyparams_v2
Availability: InStock

FrozenLake-v1-4x4

q-learning

reinforcement-learning

custom-implementation

model-index

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Q-Learning Agent playing FrozenLake-v1-4x4-slippery

This is a trained model of a Q-Learning agent playing FrozenLake-v1-4x4-slippery .

Usage

python

model = load_from_hub(repo_id="linker81/q-learning-FrozenLake-v1-4x4-slipperyparams_v2", 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"])