metadata
tags:
- CliffWalking-v0
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: unit2
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CliffWalking-v0
type: CliffWalking-v0
metrics:
- type: mean_reward
value: '-13.00 +/- 0.00'
name: mean_reward
verified: false
Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
Usage
model = load_from_hub(repo_id="markberry2010/unit2", 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"])