metadata
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3-trained
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
Q-Learning Agent playing Taxi-v3
This is a trained Q-Learning agent for Taxi-v3.
Usage
import json
import numpy as np
import gym
qtable = np.load("qtable.npy")
with open("config.json") as f:
config = json.load(f)
env = gym.make(config["env_id"])
model = {**config, "qtable": qtable}