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Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN)

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代碼片段和文件信息 

#?-----------------------------
#?File:?Deep?Q-Learning?Algorithm
#?Author:?Flood?Sung
#?Date:?2016.3.21
#?-----------------------------

import?tensorflow?as?tf?
import?numpy?as?np?
import?random
from?collections?import?deque?

#?Hyper?Parameters:
frame_PER_ACTION?=?1
GAMMA?=?0.99?#?decay?rate?of?past?observations
OBSERVE?=?100.?#?timesteps?to?observe?before?training
EXPLORE?=?200000.?#?frames?over?which?to?anneal?epsilon
FINAL_EPSILON?=?0#0.001?#?final?value?of?epsilon
INITIAL_EPSILON?=?0#0.01?#?starting?value?of?epsilon
REPLAY_MEMORY?=?50000?#?number?of?previous?transitions?to?remember
BATCH_SIZE?=?32?#?size?of?minibatch
UPDATE_TIME?=?100

try:
????tf.mul
except:
????#?For?new?version?of?tensorflow
????#?tf.mul?has?been?removed?in?new?version?of?tensorflow
????#?Using?tf.multiply?to?replace?tf.mul
????tf.mul?=?tf.multiply

class?BrainDQN:

	def?__init__（selfactions）:
		#?init?replay?memory
		self.replayMemory?=?deque（）
		#?init?some?parameters
		self.timeStep?=?0
		self.epsilon?=?INITIAL_EPSILON
		self.actions?=?actions
		#?init?Q?network
		self.stateInputself.QValueself.W_conv1self.b_conv1self.W_conv2self.b_conv2self.W_conv3self.b_conv3self.W_fc1self.b_fc1self.W_fc2self.b_fc2?=?self.createQNetwork（）

		#?init?Target?Q?Network
		self.stateInputTself.QValueTself.W_conv1Tself.b_conv1Tself.W_conv2Tself.b_conv2Tself.W_conv3Tself.b_conv3Tself.W_fc1Tself.b_fc1Tself.W_fc2Tself.b_fc2T?=?self.createQNetwork（）

		self.copyTargetQNetworkOperation?=?[self.W_conv1T.assign（self.W_conv1）self.b_conv1T.assign（self.b_conv1）self.W_conv2T.assign（self.W_conv2）self.b_conv2T.assign（self.b_conv2）self.W_conv3T.assign（self.W_conv3）self.b_conv3T.assign（self.b_conv3）self.W_fc1T.assign（self.W_fc1）self.b_fc1T.assign（self.b_fc1）self.W_fc2T.assign（self.W_fc2）self.b_fc2T.assign（self.b_fc2）]

		self.createTrainingMethod（）

		#?saving?and?loading?networks
		self.saver?=?tf.train.Saver（）
		self.session?=?tf.InteractiveSession（）
		self.session.run（tf.initialize_all_variables（））
		checkpoint?=?tf.train.get_checkpoint_state（“saved_networks“）
		if?checkpoint?and?checkpoint.model_checkpoint_path:
				self.saver.restore（self.session?checkpoint.model_checkpoint_path）
				print?（“Successfully?loaded:“?checkpoint.model_checkpoint_path）
		else:
				print?（“Could?not?find?old?network?weights“）


	def?createQNetwork（self）:
		#?network?weights
		W_conv1?=?self.weight_variable（[88432]）
		b_conv1?=?self.bias_variable（[32]）

		W_conv2?=?self.weight_variable（[443264]）
		b_conv2?=?self.bias_variable（[64]）

		W_conv3?=?self.weight_variable（[336464]）
		b_conv3?=?self.bias_variable（[64]）

		W_fc1?=?self.weight_variable（[1600512]）
		b_fc1?=?self.bias_variable（[512]）

		W_fc2?=?self.weight_variable（[512self.actions]）
		b_fc2?=?self.bias_variable（[self.actions]）

		#?input?layer

		stateInput?=?tf.placeholder（“float“[None80804]）

		#?hidden?layers
		h_conv1?=?tf.nn.relu（self.conv2d（stateInputW_conv14）?+?b_conv1）
		h_pool1?=?self.max_pool_2x2（h_conv1）


?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-06-14?11:41??DRL-FlappyBird-master\
?????目錄???????????0??2018-06-14?11:41??DRL-FlappyBird-master\assets\
?????目錄???????????0??2018-06-14?11:41??DRL-FlappyBird-master\assets\audio\
?????文件???????17483??2017-12-04?03:06??DRL-FlappyBird-master\assets\audio\die.ogg
?????文件??????194894??2017-12-04?03:06??DRL-FlappyBird-master\assets\audio\die.wav
?????文件???????15670??2017-12-04?03:06??DRL-FlappyBird-master\assets\audio\hit.ogg
?????文件???????96590??2017-12-04?03:06??DRL-FlappyBird-master\assets\audio\hit.wav
?????文件???????13235??2017-12-04?03:06??DRL-FlappyBird-master\assets\audio\point.ogg
?????文件??????177486??2017-12-04?03:06??DRL-FlappyBird-master\assets\audio\point.wav
?????文件???????13697??2017-12-04?03:06??DRL-FlappyBird-master\assets\audio\swoosh.ogg
?????文件??????354638??2017-12-04?03:06??DRL-FlappyBird-master\assets\audio\swoosh.wav
?????文件????????7728??2017-12-04?03:06??DRL-FlappyBird-master\assets\audio\wing.ogg
?????文件???????29902??2017-12-04?03:06??DRL-FlappyBird-master\assets\audio\wing.wav
?????目錄???????????0??2018-06-14?11:41??DRL-FlappyBird-master\assets\sprites\
?????文件????????2879??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\0.png
?????文件????????2868??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\1.png
?????文件????????2888??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\2.png
?????文件????????2877??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\3.png
?????文件????????2898??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\4.png
?????文件????????2888??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\5.png
?????文件????????2885??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\6.png
?????文件????????2896??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\7.png
?????文件????????2878??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\8.png
?????文件????????2892??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\9.png
?????文件????????4030??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\background-black.png
?????文件?????????664??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\base.png
?????文件????????5042??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\pipe-green.png
?????文件????????2948??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\redbird-downflap.png
?????文件????????2949??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\redbird-midflap.png
?????文件????????2944??2017-12-04?03:06??DRL-FlappyBird-master\assets\sprites\redbird-upflap.png
?????文件????????6883??2017-12-04?03:06??DRL-FlappyBird-master\BrainDQN_Nature.py
............此處省略15個文件信息

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