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

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

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

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

Source URL: icaps17.icaps-conference.org

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

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

Using Genetic Programming to Evolve Heuristics for a Monte Carlo Tree Search Ms Pac-Man Agent Atif M. Alhejali, Simon M. Lucas School of Computer Science and Electronic Engineering University of Essex Colchester, UK

Source URL: eldar.mathstat.uoguelph.ca