File size: 1,017 Bytes
fe56a4f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 |
import Arena
from MCTS import MCTS
from quoridor.QuoridorGame import QuoridorGame, display
from quoridor.QuoridorPlayers import *
from quoridor.pytorch.NNet import NNetWrapper as NNet
import numpy as np
from utils import *
"""
use this script to play any two agents against each other, or play manually with
any agent.
"""
g = QuoridorGame(5)
# all players
#rp = RandomPlayer(g).play
#gp = GreedyOthelloPlayer(g).play
hp = HumanQuoridorPlayer(g).play
# nnet players
n1 = NNet(g)
n1.load_checkpoint('./temp/','checkpoint_7.pth.tar')
args1 = dotdict({'numMCTSSims': 50, 'cpuct':0.7})
mcts1 = MCTS(g, n1, args1)
n1p = lambda x: np.argmax(mcts1.getActionProb(x, temp=0))
n2 = NNet(g)
n2.load_checkpoint('./temp/','checkpoint_9.pth.tar')
args2 = dotdict({'numMCTSSims': 50, 'cpuct':0.7})
mcts2 = MCTS(g, n2, args2)
n2p = lambda x: np.argmax(mcts2.getActionProb(x, temp=0))
arena = Arena.Arena(n1p, n2p, g, display=display)
#arena = Arena.Arena(hp, n1p, g, display=display)
print(arena.playGames(40, verbose=True))
|