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

Source URL: web.eecs.umich.edu

• 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

(2,4) Trees:31 AM Outline and Reading Multi-way search tree (§9.3)

Source URL: cpp.datastructures.net

Exploiting Variance Information in Monte-Carlo Tree Search Robert Lieck Vien Ngo Marc Toussaint

Source URL: icaps17.icaps-conference.org

Active Tree Search Robert Lieck Marc Toussaint Machine Learning and Robotics Lab

Source URL: ipvs.informatik.uni-stuttgart.de

IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, VOL. 4, NO. 1, MARCHA Survey of Monte Carlo Tree Search Methods Cameron Browne, Member, IEEE, Edward Powley, Member, IEEE, Daniel Whitehouse, Memb

Source URL: www.diego-perez.net

25 Monte Carlo Tree Search and Related Algorithms for Games Nathan R. Sturtevant 25.1

Source URL: www.gameaipro.com

Mastering the Game of Go with Deep Neural Networks and Tree Search David Silver1 *, Aja Huang1 *, Chris J. Maddison1 , Arthur Guez1 , Laurent Sifre1 , George van den Driessche1 , Julian Schrittwieser1 , Ioannis Antonoglo

Source URL: airesearch.com

IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, VOL. 4, NO. 1, MARCHA Survey of Monte Carlo Tree Search Methods Cameron Browne, Member, IEEE, Edward Powley, Member, IEEE, Daniel Whitehouse, Memb

Source URL: repository.essex.ac.uk

Decision Tree Approach for Consumer Health Information Search D. Thenmozhi P. Mirunalini

Source URL: ceur-ws.org

ARTICLE doi:nature16961 Mastering the game of Go with deep neural networks and tree search

Source URL: storage.googleapis.com