Reinforcement Learning
Collection
Deep RL models from HuggingFace Deep RL course — Q-learning, REINFORCE, PPO, A2C across various environments. • 6 items • Updated
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="MarkChen1214/q-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"])
Collection including MarkChen1214/q-Taxi-v3
Evaluation results
- mean_reward on Taxi-v3self-reported7.54 +/- 2.71