Do evaluation functions really improve Monte-Carlo tree search?

[1]  Mark H. M. Winands,et al.  Evaluation Function Based Monte-Carlo LOA , 2009, ACG.

[2]  Tristan Cazenave,et al.  Playout Policy Adaptation for Games , 2015, ACG.

[3]  Akihiro Yamamura,et al.  Analysis of a Monte Carlo Tree Search in Knight-Amazons , 2015, SCSE.

[4]  George Konidaris,et al.  An Analysis of Monte Carlo Tree Search , 2017, AAAI.

[5]  Nathan R. Sturtevant,et al.  Monte Carlo Tree Search with heuristic evaluations using implicit minimax backups , 2014, 2014 IEEE Conference on Computational Intelligence and Games.

[6]  Richard J. Lorentz,et al.  Using evaluation functions in Monte-Carlo Tree Search , 2016, Theor. Comput. Sci..

[7]  Simon M. Lucas,et al.  A Survey of Monte Carlo Tree Search Methods , 2012, IEEE Transactions on Computational Intelligence and AI in Games.

[8]  Csaba Szepesvári,et al.  Bandit Based Monte-Carlo Planning , 2006, ECML.

[9]  David Silver,et al.  Monte-Carlo tree search and rapid action value estimation in computer Go , 2011, Artif. Intell..

[10]  Demis Hassabis,et al.  Mastering the game of Go with deep neural networks and tree search , 2016, Nature.

[11]  Yngvi Björnsson,et al.  Simulation-Based Approach to General Game Playing , 2008, AAAI.

[12]  David Silver,et al.  Combining online and offline knowledge in UCT , 2007, ICML '07.

[13]  Olivier Teytaud,et al.  Adding Expert Knowledge and Exploration in Monte-Carlo Tree Search , 2009, ACG.

[14]  I-Chen Wu,et al.  Strength Improvement and Analysis for an MCTS-Based Chinese Dark Chess Program , 2015, ACG.

[15]  Bruno Bouzy,et al.  Associating domain-dependent knowledge and Monte Carlo approaches within a Go program , 2005, Inf. Sci..

[16]  Rémi Coulom,et al.  Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search , 2006, Computers and Games.

[17]  Richard J. Lorentz Amazons Discover Monte-Carlo , 2008, Computers and Games.