#! /usr/bin/env python3
import random
from log.log import Logger
from enums.player_role_enum import PlayerRoleEnum
from common.card_utils import CardUtil
logger = Logger.getLog(__file__)
class Player:
def __init__(self, name, role=PlayerRoleEnum.DEFAULT):
"""
name : a specified name for current player
role : the role of player
"""
if role == PlayerRoleEnum.DEFAULT:
raise Exception('Please specified the role of this player,' \
'ref <PlayerRoleEnum>')
logger.info(f'Current Player is [{name}({role.value})]')
self.name = name
self.role = role
def obtain_init_card(self, exclude_card=None):
"""
Obatain cards at first time in one episode
"""
card_num = 17
if self.role == PlayerRoleEnum.LAND_OWNER:
card_num = 20
#! /usr/bin/env python3
from log.log import Logger
import tensorflow as tf
import numpy as np
from common.common_utils import CommonUtils
from common.constants import TF_CONST, EXTRA_CONST
from enums.action_type_enum import ActionTypeEnum
from enums.player_role_enum import PlayerRoleEnum
from dataset.mini_batch import MiniBatch
logger = Logger.getLog(__name__)
logger.info(tf.__version__)
"""
Implement of Deep-Q network
"""
class DeepQNet:
def __init__(self,
n_input,
layers,
role=PlayerRoleEnum.LAND_OWNER,
lr=0.005,
dr=0.05,
bs=200,
epsilon=0.2,
buffer_size=5000,
n_epoch=500,