Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Move prediction in Gomoku using deep learning
Self-teaching adaptive dynamic programming for Gomoku
Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation
Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead
Neurogammon: a neural-network backgammon program
Mastering the game of Go without human knowledge
Giraffe: Using Deep Reinforcement Learning to Play Chess
Efficiency of three forward-pruning techniques in shogi: Futility pruning, null-move pruning, and Late Move Reduction (LMR)
Reinforcement Learning of Local Shape in the Game of Go
Learning to Play the Game of Chess
AN FPGA MOVE GENERATOR FOR THE GAME OF CHESS
Machine Learning In Computer Chess: The Next Generation
Recent Advances in General Game Playing
Prediction, Learning, and Games
Playing Tetris with Deep Reinforcement Learning
Move Evaluation in Go Using Deep Convolutional Neural Networks
Evolving neural networks to play checkers without relying on expert knowledge
AI in Game Playing: Sokoban Solver
Large-scale Analysis of Chess Games with Chess Engines: A Preliminary Report
Some studies in machine learning using the game of checkers
Where does AlphaGo go: from church-turing thesis to AlphaGo thesis and beyond
EmojiGAN: learning emojis distributions with a generative model
Urdu Nastaliq recognition using convolutionalrecursive deep learning
CIEL: a universal execution engine for distributed data-flow computing
Control of an Electronic Expansion Valve Using an Adaptive PID Controller
Graph-based Neural Multi-Document Summarization