Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games Xiaoxiao Guo, Satinder Singh, Richard Lewis, Honglak Lee University of Michigan, Ann Arbor {guoxiao,baveja,rickl,honglak - Client-to-client protocol - Document - PDFSEARCH.IO

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Date: 2016-04-22 16:33:09 Neuroscience Artificial intelligence Machine learning Machine learning algorithms Computational neuroscience Artificial neural networks Q-learning Reinforcement learning University of Cape Town Monte Carlo tree search Sepp Hochreiter Convolutional neural network		Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games Xiaoxiao Guo, Satinder Singh, Richard Lewis, Honglak Lee University of Michigan, Ann Arbor {guoxiao,baveja,rickl,honglak}@umich.edu Add to Reading List Source URL: web.eecs.umich.edu Download Document from Source Website File Size: 1,19 MB Share Document on Facebook

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	Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games Xiaoxiao Guo, Satinder Singh, Richard Lewis, Honglak Lee University of Michigan, Ann Arbor {guoxiao,baveja,rickl,honglak}@umich.edu DocID: 1uwYB - View Document