Latest revision as of 14:06, 28 January 2020

Home * Conferences * Computer and Games 2016

Snellius Building ^[1]

The 9th International Computers and Games Conference,
was held from June 29 to July 01, 2016, Snellius Building ^[2] ^[3], Leiden University, Leiden, The Netherlands, in conjunction with the WCCC 2016, WCSC 2016, and the 19th Computer Olympiad.

Lectures

Tobias Graf, Marco Platzner (2016). Using Deep Convolutional Neural Networks in Monte Carlo Tree Search. CG 2016
Richard J. Lorentz, Andrew Isaac (2016). Using Partial Tablebases in Breakthrough. CG 2016
Todd W. Neller et al. (2016). Monte Carlo Approaches to Parameterized Poker Squares. CG 2016
John Tromp (2016). The number of legal Go positions. CG 2016
John Tromp, Matthieu Walraet (2016). A googolplex of Go games. CG 2016
Kazuto Oka, Kiminori Matsuzaki (2016). Systematic Selection of N-tuple Networks for 2048. CG 2016
Xiaoheng Bi, Tetsuro Tanaka (2016). Human-side Strategies of the Werewolf Game against the Stealth Werewolves Strategy. CG 2016
Yuya Hirata, Michimasa Inaba, Kenichi Takahashi, Fujio Toriumi, Hirotaka Osawa, Daisuke Katagami, Kosuke Shinoda (2016). Werewolf Game Modeling using Action Probabilities based on Play Log Analysis. CG 2016

Takahisa Imagawa, Tomoyuki Kaneko (2016). Monte Carlo Tree Search with Robust Exploration. CG 2016
Joris Duguépéroux, Ahmad Mazyad, Fabien Teytaud, Julien Dehos (2016). Pruning playouts in Monte-Carlo Tree Search for the game of Havannah. CG 2016
Jialin Liu, Olivier Teytaud, Tristan Cazenave (2016). Fast seed-learning algorithms for games. CG 2016
Michael Hartisch, Thorsten Ederer, Ulf Lorenz, Jan Wolf (2016). Quantified Integer Programs with Polyhedral Uncertainty Set. CG 2016
Raphael Thiele, Ingo Althöfer (2016). An Analysis of Majority Systems with Dependent Agents in a Simple Subtraction Game. CG 2016
Bas van Opheusden, Zahy Bnaya, Gianni Galbiati, Wei Ji Ma (2016). Do people think like computers? CG 2016
Francois Bonnet, Simon Viennot (2016). Nash Equilibrium in Mastermind. CG 2016
Aja Huang (2016). AlphaGo: Combining Deep Neural Networks with Tree Search. CG 2016, Keynote Lecture

Jos Uiterwijk (2016). 11 x 11 Domineering is Solved: The first player wins. CG 2016
Kenny Young, Ryan Hayward (2016). A Reverse Hex Solver. CG 2016
Ingo Althöfer (2016). Computer-Aided Go: Chess as a Role Model. CG 2016
Cameron Browne (2016). A Class Grammar for General Games. CG 2016
Nera Nesic, Stephan Schiffel (2016). Heuristic Function Evaluation Framework. CG 2016
Peter H. Jin, Kurt Keutzer (2016). Convolutional Monte Carlo Rollouts for Computer Go. CG 2016
Hung Guei, Tinghan Wei, Jin-Bo Huang, I-Chen Wu (2016). An Empirical Study on Applying Deep Reinforcement Learning to the Game 2048. CG 2016

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