@Article{Guo2014,
author = {Guo, Xiaoxiao and Singh, Satinder and Lee, Honglak and Lewis, Richard L and Wang, Xiaoshi}, 
title = {Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning}, 
journal = {}, 
volume = {}, 
number = {}, 
pages = {3338--3346}, 
year = {2014}, 
abstract = {Abstract The combination of modern Reinforcement Learning and Deep Learning approaches holds the promise of making significant progress on challenging applications requiring both rich perception and policy-selection. The Arcade Learning Environment (ALE) provides a set of Atari games that represent a useful benchmark set of such applications. A recent breakthrough in combining model-free reinforcement learning with deep learning.}, 
location = {}, 
keywords = {}}

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