README.md

---
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: 7.38 +/- 2.45
      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# pythonmodel = load_from_hub(repo_id="{repo_id}", 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"])