README.md

metadata

tags:
  - Taxi-v3
  - q-learning
  - reinforcement-learning
  - custom-implementation
model-index:
  - name: DeepRL
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: Taxi-v3
          type: Taxi-v3
        metrics:
          - type: mean_reward
            value: 7.56 +/- 2.71
            name: mean_reward
            verified: false

A2C Agent playing HalfCheetahBulletEnv-v0

This is a trained model of a A2C agent playing HalfCheetahBulletEnv-v0 using the stable-baselines3 library.

Usage (with Stable-baselines3)

TODO: Add your code

from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub

...