def get_player(player_type):
players = {
'random': Players.RandomPlayer(),
'manual': Players.ManualPlayer(),
'monte_carlo': Players.MonteCarloPlayer(100),
'minimax': Players.MinimaxPlayer(4),
'en_masse': Players.EnMassePlayer(),
'flanking': Players.FlankingPlayer(),
'aggressive': Players.AggressivePlayer(),
}
return players[player_type]
import Game
import Players
import MCTS
import Arena
import numpy as np
import NNet
from utils import *
game = Game.Game2048()
player = Players.RandomPlayer(game)
nnet_player = NNet.NNetWrapper(game)
nnet_player.load_checkpoint('./temp', 'best.pth.tar')
args = dotdict({
'numIters': 1000,
'numEps': 100, # Number of complete self-play games to simulate during a new iteration.
'tempThreshold': 15, #
'updateThreshold': 0.6,
# During arena playoff, new neural net will be accepted if threshold or more of games are won.
'maxlenOfQueue': 200000, # Number of game examples to train the neural networks.
'numMCTSSims': 25, # Number of games moves for MCTS to simulate.
'arenaCompare': 40, # Number of games to play during arena play to determine if new net will be accepted.
'cpuct': 1,
'checkpoint': './temp/',
'load_model': False,
'load_folder_file': ('/dev/models/8x100x50', 'best.pth.tar'),
'numItersForTrainExamplesHistory': 20,
})
mcts = MCTS.MCTS(game, nnet_player, args)
self.board.makemove(self.turn,move[0],move[1])
if self.turn == 1:
self.turn = 2
else:
self.turn = 1
def play(self):
while self.checkwin(self.board) == 0:
self.board.printboard_debug()
self.prompt_for_move()
self.board.printboard();
if self.checkwin(self.board) == 1:
self.player1.report_win()
self.player2.report_loss()
elif self.checkwin(self.board) == 2:
self.player2.report_win()
self.player1.report_loss()
elif self.checkwin(self.board) == -1:
self.player1.report_draw()
self.player2.report_draw()
else:
print("Something went wrong, checkwin is {0}".format(self.checkwin(self.board)))
ReinforceInt = Reinforce.ReinforceInterface()
Player1 = Players.RandomPlayer(1)#ReinforceInt.generate_reinforceplayer(1)
Player2 = Players.RandomPlayer(2)
KaspGame = Game(Player1, Player2)
KaspGame.play();