INNER CODE UNIT · Python

on_evaluate

rlcode/reinforcement-learning · 1-grid-world/1-policy_iteration.py:103

    def on_evaluate():
        policy_iteration.policy_evaluation()
        display.show_values(policy_iteration.value_table)

    def on_improve():
        policy_iteration.policy_improvement()
        display.show_arrows(policy_iteration.policy_table)

    def on_move():
        display.move_along_policy(policy_iteration.get_action)

    def on_reset():
        policy_iteration.__init__(env)
        display.clear()
        display.agent_pos = [0, 0]
        display.clicks.clear()

    # Workflow: (Evaluate x several -> Improve) x several -> Move.

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