Mastering the game of Go with deep neural networks and tree search

Balancing MCTS by Dynamically Adjusting the Komi Value

(2016) Petr Baudiš   ICGA JOURNAL

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

The grand challenge of computer Go

(2012) Sylvain Gelly et al.   COMMUNICATIONS OF THE ACM

Temporal-difference search in computer Go

(2012) David Silver et al.   MACHINE LEARNING

A Survey of Monte Carlo Tree Search Methods

(2012) Cameron B. Browne et al.   IEEE Transactions on Computational Intelligence and AI in Games

Multi-armed bandits with episode context

(2011) Christopher D. Rosin   ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE

Monte-Carlo tree search and rapid action value estimation in computer Go

(2011) Sylvain Gelly et al.   ARTIFICIAL INTELLIGENCE

The Power of Forgetting: Improving the Last-Good-Reply Policy in Monte Carlo Go

(2010) Hendrik Baier et al.   IEEE Transactions on Computational Intelligence and AI in Games

Fuego—An Open-Source Framework for Board Games and Go Engine Based on Monte Carlo Tree Search

(2010) Markus Enzenberger et al.   IEEE Transactions on Computational Intelligence and AI in Games