![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 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](https://www.pdfsearch.io/img/3a77de0e2cb50c582dfa79747b51f02d.jpg) Date: 2016-04-22 16:33:09Neuroscience 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.eduAdd to Reading ListSource URL: web.eecs.umich.eduDownload Document from Source Website File Size: 1,19 MBShare Document on Facebook
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