import random as rd
from snake_env import Render, Map
from IA import IA_rl, IA_random, IA_minimax
n_agents = 2
n_candies = 10
gridsize = 30
n_total_iter = 2000
sliding_window = 100
step = 10
IA_learning = IA_rl.IA(0)
adversary = IA_random.IA(1)
#adversary = IA_minimax.IA(1)
M = Map(nagents=n_agents, ncandies=n_candies, gridsize=gridsize)
e = Render(M, spacing=20)
q = None
current_result = 0
all_results = []
result = []
for match in range(1, n_total_iter + 1):
while True:
#e.render()
if len(M.activeAgents) < n_agents:
if 0 in M.activeAgents:
import numpy as np
from pygame.locals import *
import pygame
import random as rd
from snake_env import Render, Map
import time
nagents = 3
M = Map(nagents=nagents, ncandies=3, gridsize=40)
e = Render(M, spacing=20)
step = 0
while True:
index = 0
print(step)
e.render()
next_move = rd.randint(0, 3)
print(next_move)
M.agents[index].nextAction(next_move)
step += 1
r, done = M.step()
time.sleep(0.5)
# if done:
# e.reset()
from snake_env import Map, Render M = Map(nagents=2, ncandies=3, gridsize=40) e = Render(M, spacing=20) e.render() M.update(0, 1) e.render() M.revertLastUpdate() e.render() M.update(1, 1) e.render() M.update(1, 0) M.update(1, 3) e.render() M.revertLastUpdate() M.possibilities(1) #s=M.agents[0]