metadata
tags:
- taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: taxi-v3
type: taxi-v3
metrics:
- type: mean_reward
value: 8.08 +/- 2.34
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="octipuw/Taxi-v3", 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"])