lecture_11_sarsa.py

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from irlc.gridworld.gridworld_environments import BookGridEnvironment
from irlc.lectures.lec10.lecture_10_mc_q_estimation import keyboard_play
from irlc.exam_tabular_examples.sarsa_nstep_delay import SarsaDelayNAgent

if __name__ == "__main__":
    env = BookGridEnvironment(render_mode='human')
    agent = SarsaDelayNAgent(env, gamma=0.95, epsilon=0.1, alpha=.96, n=1)
    keyboard_play(env, agent, method_label="Sarsa")