Publications in Learning-based Video Game Development
This is a collection of our main papers resulting from our researches in learning-based video game development in the MLP@UoM lab.
- Roberts J. and Chen K. (2015): Learning-based procedural content generation, IEEE Transactions on Computational Intelligence and AI in Games 7(1): 88-101.
- Shi P. and Chen K. (2018): Learning constructive primitives for real-time dynamic difficulty adjustment in Super Mario Bros, IEEE Transactions on Games 10(2): 155-169.
- Shi P. and Chen K. (2016): Online level generation in Super Mario Bros via learning constructive primitives. In Proceedings of IEEE Computational Intelligence and Games Conference (IEEE CIG'16), Santorini, Greece.
- Buckley D., Chen K. and Knowles J. (2017): Rapid skill capture in a first-person shooter, IEEE Transactions on Computational Intelligence and AI in Games 9(1): 63-75.
- Buckley D., Chen K. and Knowles J. (2013): Predicting skill from player input in a first-person shooter. Proceedings of IEEE Conference on Computational Intelligence and Games (CIG'13), Niagara Falls, ON, Canada.
- Rosyid H., Palmerlee M. and Chen K.;(2018): Deploying learning materials to game content for serious education game development: A case study, Entertainment Computing 26: 1-9.
- Woof W. and Chen K. (2018): Learning to play general video-games via an object embedding network. In Proceedings of IEEE Computational Intelligence and Games Conference (IEEE CIG'18), Maastricht, The Netherlands.
- Chen K. (2019): Learning-based video game development in MLP@UoM: An overview. Proceedings of IEEE International Conference on Electrical, Electronics and Information Engineering (ICEEIE 2019), Invited Paper for Keynote Speech, Bali, Indonesia.