Exemplo n.º 1
0
def test_grid_value_iteration():
    pygame.init()

    w = 6
    h = 5
    rewards = ((24, 1),
               (2, -1),
               (11, -1),
               (27, -1))

    terminal = [2, 11, 24]
    new_pos = {"top": 2, "bot": 3, "left": 0, "right": 1}

    S, A, T, P = create_grid_world(w, h, rewards, terminal)

    start_time = time()
    V, Pi = value_iteration(S, A, P, T)
    print("--- %s seconds ---" % (time() - start_time))


    win = pygame.display.set_mode((w * 100, h * 100))
    for i in range(w * h):
        if i % w == 0 and i != 0:
            print("")
        print(round(V[i], 7), end=" ")
    print("")

    for i in range(w * h):
        if i % w == 0 and i != 0:
            print("")
        print(Pi[i], end=" ")

    st = reset_grid(w, h)

    while not is_terminal(st, T):
        display_grid(win, w, h)
        event_loop()
        display_reward_grid(win, rewards, w, h)
        display_mouse_grid(win, st, w, h)
        sleep(1)

        positions = {"top": st - w,
                "bot": st + w,
                "left": st - 1,
                "right": st + 1
                }

        positions_bis = {key: Pi[st][new_pos[key]] for key, value in positions.items() if 0 <= value < w * h and Pi[st][new_pos[key]] > 0}
        action = max(positions_bis, key=positions_bis.get)

        a = new_pos[action]

        st, r, term = step(st, a, T, S, P)
    display_grid(win, w, h)
    display_reward_grid(win, rewards, w, h)
    display_mouse_grid(win, st, w, h)
Exemplo n.º 2
0
def test_grid_q_learning():
    pygame.init()

    w = 6
    h = 5
    rewards = ((24, 1),
               (2, -1),
               (11, -1),
               (27, -1))

    terminal = [2, 11, 24]

    new_pos = {"top": 2, "bot": 3, "left": 0, "right": 1}

    S, A, T, P = create_grid_world(w, h, rewards, terminal)

    start_time = time()
    Q, Pi = tabular_q_learning_control(T, S, P, len(S), len(A), reset_line, is_terminal, step,
                                  episodes_count=10000, max_steps_per_episode=100)
    print("--- %s seconds ---" % (time() - start_time))


    win = pygame.display.set_mode((w * 100, h * 100))


    for i in range(w * h):
        if i % w == 0 and i != 0:
            print("")
        print(Pi[i], end=" ")

    st = reset_grid(w, h)

    while not is_terminal(st, T):
        display_grid(win, w, h)
        event_loop()
        display_reward_grid(win, rewards, w, h)
        display_mouse_grid(win, st, w, h)
        sleep(1)

        positions = {"top": st - w,
                "bot": st + w,
                "left": st - 1,
                "right": st + 1
                }

        a = np.argmax(Q[st])
        st, r, term = step(st, a, T, S, P)
    display_grid(win, w, h)
    display_reward_grid(win, rewards, w, h)
    display_mouse_grid(win, st, w, h)