#!/usr/bin/env?python2
#?-*-?coding:?utf-8?-*-
“““
Created?on?Fri?Jan?20?20:36:49?2017

@author:?daniel
“““

from?__future__?import?print_function

import?gym
import?numpy?as?np
import?tensorflow?as?tf
import?time
from?collections?import?deque??
import?datetime
import?cv2
import?os
import?sys
from?gym?import?wrappers
import?argparse
from?memory?import?ReplayMemory?as?RPM
from?tensorflow.python.client?import?timeline

class?QNet（object）:
????def?__init__（selfsessnameparamstrain=True）:
????????self.params=params
????????self.sess=sess
????????self.name=name
????????self.input_shape=[None?params[‘framesize‘]params[‘framesize‘]params[‘frames‘]]?#add?to?hyperparamters
????????self.images_placeholder?=?tf.placeholder（tf.float32shape=self.input_shape）
????????self.target_placeholder?=?tf.placeholder（tf.int32shape=[Noneparams[‘actionsize‘]]）
????????self.reward_placeholder?=?tf.placeholder（tf.float32shape=[None]）
????????self.action_placeholder?=?tf.placeholder（tf.int32shape=[None]）
????????self.done_placeholder?=?tf.placeholder（tf.float32shape=[Noneparams[‘actionsize‘]]）
????????self.train=train
????????self.buildNet（）
????????
????def?buildNet（self）:
????????input_layer?=?self.images_placeholder

????????with?tf.name_scope（self.name）:
????????????with?tf.name_scope（‘conv1‘）:
????????????????#?8x8?conv?4?inputs?32?outputs?stride=4
????????????????self.W_conv1?=?self._weight_variable（[8?8?4?32]“W_conv1“）
????????????????self.b_conv1?=?self._bias_variable（[32]“b_conv1“）
????????????????h_conv1?=?tf.nn.relu（self._conv2d（input_layer?self.W_conv1?4）?+?self.b_conv1）
????
????????????with?tf.name_scope（‘conv2‘）:
????????????????#?4x4?conv?32?inputs?64?outputs?stride=2
????????????????self.W_conv2?=?self._weight_variable（[4?4?32?64]“W_conv2“）
????????????????self.b_conv2?=?self._bias_variable（[64]“b_conv2“）
????????????????h_conv2?=?tf.nn.relu（self._conv2d（h_conv1?self.W_conv2?2）?+?self.b_conv2）
????????????????
????????????with?tf.name_scope（‘conv3‘）:
????????????????#?3x3?conv?64?inputs?64?outputs?stride=1
????????????????self.W_conv3?=?self._weight_variable（[3?3?64?64]“W_conv3“）
????????????????self.b_conv3?=?self._bias_variable（[64]“b_conv3“）
????????????????h_conv3?=?tf.nn.relu（self._conv2d（h_conv2?self.W_conv3?1）?+?self.b_conv3）
????????????
????????????dim=h_conv3.get_shape（）
????????????dims=np.array（[d.value?for?d?in?dim]）
????????????reshaped_dim?=?np.prod（dims[1:]）
????????????with?tf.name_scope（‘dense1‘）:
????????????????self.W_fc1?=?self._weight_variable（[reshaped_dim?512]“W_fc1“）
????????????????self.b_fc1?=?self._bias_variable（[512]“b_fc1“）
????
????????????????h_conv3_flat?=?tf.reshape（h_conv3?[-1?reshaped_dim]）
????????????????h_fc1?=?tf.nn.relu（tf.matmul（h_conv3_flat?self.W_fc1）?+?self.b_fc1）
????????????????
????????????with?tf.name_scope（‘output‘）:
????????????????self.W_fc2?=?self._weight_variable（[512?self.params[‘actionsize‘]]“W_fc2“）
????????????????self.b_fc2?=?self._bias_variable（[sel

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2017-03-24?13:19??dqn_agent-master\
?????文件???????35141??2017-03-24?13:19??dqn_agent-master\LICENSE
?????文件??????????63??2017-03-24?13:19??dqn_agent-master\README.md
?????文件???????23671??2017-03-24?13:19??dqn_agent-master\dqn_breakout.py
?????文件????????2016??2017-03-24?13:19??dqn_agent-master\memory.py