Publications by Hayward, Ryan
In Journal (refereed)
| 1. | C. Gao, R. Hayward, M. Müller. "Move Prediction Using Deep Convolutional Neural Networks in Hex". IEEE Transactions on Games, 10(4), pp 336 - 343, December 2018.  |
| 2. | C. Gao, S. Yan, R. Hayward, M. Müller. "A Transferable Neural Network for Hex". Journal of the International Computer Games Association (ICGA), 40(3), pp 224-233, June 2018. |
| 3. | S. Huang, B. Arneson, R. Hayward, M. Müller. "MoHex 2.0: a pattern-based MCTS Hex player". Computers and Games, pp 39-48, January 2013.  |
| 4. | R. Greiner, R. Hayward, M. Jankowska, M. Molloy. "Finding Optimal Satisficing Strategies for And-Or Trees". Artificial Intelligence (AIJ), 170, pp 19-58, January 2006. |
In Conference (refereed)
| 5. | C. Gao, M. Müller, R. Hayward. "Three-Head Neural Network Architecture for Monte Carlo Tree Search". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Jérôme Lang), pp 3762-3768, July 2018. |
| 6. | C. Gao, M. Müller, R. Hayward. "Adversarial Policy Gradient for Alternating Markov Games". International Conference on Learning Representations, pp n/a, April 2018. |
| 7. | C. Gao, M. Müller, R. Hayward. "Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Carles Sierra), pp 3668-3674, August 2017. |
| 8. | R. Greiner, R. Hayward, M. Molloy. "Optimal Depth-First Strategies for And-Or Trees". National Conference on Artificial Intelligence (AAAI), Edmonton Alberta, August 2002.  |
Other Categories
| 9. | O. Zaiane, J. Li, R. Hayward. "Mission-based Navigational Behaviour Modeling for Web Recommender Systems". Mining and Web Usage Analysis, Lecture Notes in Artificial Intelligence, Springer Verlag, (ed: B. Mobasher, O. Nasraoui, B. Liu, and B. Massand), pp 37-55, August 2004. |
