Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Move Evaluation in Go Using Deep Convolutional Neural Networks
Teaching Deep Convolutional Neural Networks to Play Go
Mastering the game of Go without human knowledge
Neurogammon: a neural-network backgammon program
Human vs. Computer Go: Review and Prospect
FML-based Prediction Agent and Its Application to Game of Go
A model of visual organization for the game of GO
Where does AlphaGo go: from church-turing thesis to AlphaGo thesis and beyond
Self-teaching adaptive dynamic programming for Gomoku
Using Deep Convolutional Neural Networks in Monte Carlo Tree Search
Evolving neural networks to play checkers without relying on expert knowledge
Giraffe: Using Deep Reinforcement Learning to Play Chess
Learning to Play Othello with Deep Neural Networks
Building Evaluation Functions for Chess and Shogi with Uniformity Regularization Networks
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks
Applying ESP and Region Specialists to Neuro-Evolution for Go
Evolving Gomoku solver by genetic algorithm
Demystifying AlphaGo Zero as AlphaGo GAN
Alpha-beta pruning for games with simultaneous moves
Belief-State Monte Carlo Tree Search for Phantom Go
Heuristic Evaluation Functions for General Game Playing
Two-Stream Convolutional Networks for Action Recognition in Videos
A 25mA CMOS LDO with −85dB PSRR at 2.5MHz
Hairy Slices: Evaluating the Perceptual Effectiveness of Cutting Plane Glyphs for 3D Vector Fields
Correlation of Cartilage Stiffness to Thickness and Level of Degeneration Using a Handheld Indentation Probe
LLC resonant converter for 48 V to 0.9 V VRM