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Move Evaluation in Go Using Deep Convolutional Neural Networks
• jmgilmer/GoCNN
• 
The game of Go is more challenging than other board games, due to the difficulty of constructing a position or move evaluation function.
The Text-Based Adventure AI Competition
In 2016, 2017, and 2018 at the IEEE Conference on Computational Intelligence in Games, the authors of this paper ran a competition for agents that can play classic text-based adventure games.
Monte Carlo Q-learning for General Game Playing
GGP problems can be solved by reinforcement learning.
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
The rapid pace of research in Deep Reinforcement Learning has been driven by the presence of fast and challenging simulation environments.
Assessing the Potential of Classical Q-learning in General Game Playing
For small games, simple classical table-based Q-learning might still be the algorithm of choice.