데블스캠프2017/강화학습으로컴퓨터에게고전게임플레이시키기 - Revision history

Maintenance script: Repair MoniWiki formatting after migration

2026-03-29T00:34:38Z

Repair MoniWiki formatting after migration

← Older revision		Revision as of 00:34, 29 March 2026
Line 55:		Line 55:
	** [https://www.youtube.com/watch?v=2pWv7GOvuf0 강의 영상]		** [https://www.youtube.com/watch?v=2pWv7GOvuf0 강의 영상]
	* Gitbook: [https://www.gitbook.com/book/dnddnjs/rl/details Fundamental of Reinforcement Learning]. 한글로 되어 있다!		* Gitbook: [https://www.gitbook.com/book/dnddnjs/rl/details Fundamental of Reinforcement Learning]. 한글로 되어 있다!
	* 레퍼런스 모음: Machine~~%20Learning~~		* 레퍼런스 모음: [[Machine Learning]]
	== 후기 및 기타의견 ==		== 후기 및 기타의견 ==

2026-03-27T00:44:56Z

Repair batch-0005 pages from live compare

← Older revision		Revision as of 00:44, 27 March 2026
Line 55:		Line 55:
	** [https://www.youtube.com/watch?v=2pWv7GOvuf0 강의 영상]		** [https://www.youtube.com/watch?v=2pWv7GOvuf0 강의 영상]
	* Gitbook: [https://www.gitbook.com/book/dnddnjs/rl/details Fundamental of Reinforcement Learning]. 한글로 되어 있다!		* Gitbook: [https://www.gitbook.com/book/dnddnjs/rl/details Fundamental of Reinforcement Learning]. 한글로 되어 있다!
	* 레퍼런스 모음: [[Machine%20Learning]]		* 레퍼런스 모음: Machine%20Learning
	== 후기 및 기타의견 ==		== 후기 및 기타의견 ==

2017-07-16T14:23:22Z

← Older revision		Revision as of 14:23, 16 July 2017
Line 34:		Line 34:

	== 실습 ==		== 실습 ==
	* [https://gym.openai.com gym]: Reinforcement learning을 위한 고전 게임들을 python으로 포팅한 toolkit. 직접 구현한 것도 있고 atari는 포팅함. [https://github.com/openai/gym in github]에 코드가 공개되어 있다.		* [https://gym.openai.com gym]: Reinforcement learning을 위한 고전 게임들을 python으로 포팅한 toolkit. 직접 구현한 것도 있고 atari는 포팅함. [https://github.com/openai/gym github]에 코드가 공개되어 있다.
	** 오늘 실습할 [https://gym.openai.com/envs/CartPole-v0 cartpole]		** 오늘 실습할 [https://gym.openai.com/envs/CartPole-v0 cartpole]
	* 필요한 라이브러리: numpy, gym, tensorflow 필요		* 필요한 라이브러리: numpy, gym, tensorflow 필요

2017-07-03T16:17:33Z

← Older revision		Revision as of 16:17, 3 July 2017
Line 18:		Line 18:
	* input : environment, reward, output : action		* input : environment, reward, output : action
	* Learn from try		* Learn from try
	* Model free		** Model free: 게임의 규칙을 알려주지 않음
	* e.g. game play, stock trading		* e.g. game play, stock trading
	== reinforcement learning ==		== reinforcement learning ==

2017-07-03T16:15:58Z

← Older revision		Revision as of 16:15, 3 July 2017
Line 10:		Line 10:
	* e.g. mnist, classification		* e.g. mnist, classification
	== unsupervised learning ==		== unsupervised learning ==
	* input: ~~value만~~ 입력, projection등으로 ~~전처리한 값들로 계산~~		* input: feature만 입력, 보통 projection등으로 feature의 차원을 축소시킨다.
	* Cluster by distance between inputs		* Cluster by distance between inputs
	* Human can't predict the outcome		* Human can't predict the outcome

2017-07-03T16:14:48Z

← Older revision		Revision as of 16:14, 3 July 2017
Line 6:		Line 6:
	# Reinforcement learning		# Reinforcement learning
	== supervised learning ==		== supervised learning ==
	* 학습을 시킬 때 input으로 ~~value와 label을~~ 함께 전달		* 학습을 시킬 때 input으로 feature(입력값)와 label(원하는 결과값)을 함께 전달
	* Learning from difference between prediction and ~~target~~		* Learning from difference between prediction and label
	* e.g. mnist, classification		* e.g. mnist, classification
	== unsupervised learning ==		== unsupervised learning ==

2017-07-03T16:14:02Z

2017-07-01T16:40:17Z

← Older revision		Revision as of 16:40, 1 July 2017
Line 55:		Line 55:
	* Gitbook: [https://www.gitbook.com/book/dnddnjs/rl/details Fundamental of Reinforcement Learning]. 한글로 되어 있다!		* Gitbook: [https://www.gitbook.com/book/dnddnjs/rl/details Fundamental of Reinforcement Learning]. 한글로 되어 있다!
	* 레퍼런스 모음: [[Machine%20Learning]]		* 레퍼런스 모음: [[Machine%20Learning]]
	== ~~하고싶은 말~~ ==		== 후기 및 기타의견 ==

2017-07-01T15:48:55Z

← Older revision		Revision as of 15:48, 1 July 2017
Line 53:		Line 53:
	** [http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html 강의노트]		** [http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html 강의노트]
	** [https://www.youtube.com/watch?v=2pWv7GOvuf0 강의 영상]		** [https://www.youtube.com/watch?v=2pWv7GOvuf0 강의 영상]
	* Gitbook: [https://www.gitbook.com/book/dnddnjs/rl/details Fundamental of Reinforcement Learning]		* Gitbook: [https://www.gitbook.com/book/dnddnjs/rl/details Fundamental of Reinforcement Learning]. 한글로 되어 있다!
	* 레퍼런스 모음: [[Machine%20Learning]]		* 레퍼런스 모음: [[Machine%20Learning]]
	== 하고싶은 말 ==		== 하고싶은 말 ==

2017-07-01T15:48:15Z

← Older revision		Revision as of 15:48, 1 July 2017
Line 46:		Line 46:
	== Reference ==		== Reference ==
	* 발표 슬라이드: [https://slides.com/rabierre/playing_a_game_with_rl slide]		* 발표 슬라이드: [https://slides.com/rabierre/playing_a_game_with_rl slide]
	* 코드: [https://github.com/Rabierre/cartpole github]		* 실습코드: [https://github.com/Rabierre/cartpole github]
	* 논문: [https://arxiv.org/abs/1312.5602 Playing Atari with Deep Reinforcement Learning]		* DeepMind의 DQN 논문: [https://arxiv.org/abs/1312.5602 Playing Atari with Deep Reinforcement Learning]
	* Tensorflow tutorial: [https://github.com/golbin/TensorFlow-Tutorials/tree/master/10%20-%20DQN DQN]		* Tensorflow tutorial: [https://github.com/golbin/TensorFlow-Tutorials/tree/master/10%20-%20DQN DQN]
	== Furthermore ==		== Furthermore ==