Thinking Fast and Slow with Deep Learning and Tree Search Thomas Anthony1, , Zheng Tian1 , and David Barber1,2 arXiv:1705.08439v4 [cs.AI] 3 Dec 2017

Source URL: arxiv.org

• Artificial intelligence
• Applied mathematics
• Learning
• Machine learning
• Computational neuroscience
• Artificial neural networks
• Computational statistics
• Monte Carlo tree search
• Convolutional neural network
• Reinforcement learning
• Q-learning
• Structured prediction

Parameterized Deformation Sparse Coding via Tree-Structured Parameter Search Brandon Burdge, Kenneth Kreutz-Delgado Dept. of Electrical and Computer Engineering University of California San Diego , kreutz

Source URL: dsp.ucsd.edu

Fast Evolutionary Adaptation for Monte Carlo Tree Search Simon M. Lucas, Spyridon Samothrakis and Diego Perez University of Essex, UK Abstract This paper describes a new adaptive Monte Carlo Tree Search (MCTS) algorithm

Source URL: www.diego-perez.net

Active Object Recognition via Monte Carlo Tree Search Mikko Lauri, Nikolay Atanasov, George J. Pappas, and Risto Ritala Abstract—This paper considers object recognition with a camera, whose viewpoint can be controlled

Source URL: erl.ucsd.edu

Information Processing Letters–229 www.elsevier.com/locate/ipl Salembier’s Min-tree algorithm turned into breadth first search Wim H. Hesselink Department of Mathematics and Computing Science, Rijksuniv

Source URL: wimhesselink.nl

Inspired by the search for nine year old Jimmy Beveridge in 1981 in southern California, and initiated by the caring heart of Ab Taylor (left), the Hug-a-Tree and Survive program teaches children how to survive in the wo

Source URL: www.nasar.org

Monte Carlo Tree Search: Long-term versus Short-term Planning Diego Perez, Philipp Rohlfshagen, Member, IEEE, Simon M. Lucas, Senior Member, IEEE Abstract—In this paper we investigate the use of Monte Carlo Tree Search

Source URL: www.diego-perez.net

Regulation of Exploration for Simple Regret Minimization in Monte-Carlo Tree Search Yun-Ching Liu Yoshimasa Tsuruoka

Source URL: www.logos.ic.i.u-tokyo.ac.jp

IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES 1 Playing Multi-Action Adversarial Games: Online Evolutionary Planning versus Tree Search

Source URL: julian.togelius.com

Depth of a Random Binary Search Tree with Concurrent Insertions James Aspnes1 and Eric Ruppert2 Yale University, USA York University, Canada

Source URL: www.cs.yale.edu