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# This file may not be shared/redistributed without permission. Please read copyright notice in the git repo. If this file contains other copyright notices disregard this text.
from irlc.gridworld.gridworld_environments import BookGridEnvironment
from irlc.ex01.agent import train
from irlc.gridworld.demo_agents.hidden_agents import ValueIterationAgent3
from irlc import interactive
def q1_vi(env):
agent = ValueIterationAgent3(env, epsilon=0, gamma=1, only_update_current=False)
env, agent = interactive(env, agent)
env.reset()
train(env, agent, num_episodes=100)
env.close()
if __name__ == "__main__":
env = BookGridEnvironment(render_mode='human', living_reward=-0.05)
q1_vi(env)