This is a repository accompanying the Phd Thesis: Explaining Intelligent Game-Playing Agents.
The thesis resulted in a total of four papers:
A ) A. Pálsson and Y. Björnsson, “Evaluating interpretability methods for dnns in game-playing agents,” in Advances in Computer Games - 17th International Conference, ACG 2021, Virtual Event, November 23-25, 2021, Revised Selected Papers, C. Browne, A. Kishimoto, and J. Schaeffer, Eds., ser. Lecture Notes in Computer Science, vol. 13262, Springer, 2021, pp. 71–81.
B) A. Pálsson and Y. Björnsson, “Unveiling concepts learned by a world-class chess-playing agent,” in Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China, ijcai.org, 2023, pp. 4864–4872.
C) A. Pálsson and Y. Björnsson, “Empirical Evaluation of Concept Probing for Game-Playing Agents” (unpublished, submitted to ECAI-24)
D) Y. Björnsson, S. Helgason, and A. Pálsson, “Searching for explainable solutions in sudoku,” in 2021 IEEE Conference on Games (CoG), Copenhagen, Denmark, August 17-20, 2021, IEEE, 2021, pp. 1–8.