Peer-Reviewed

  • Krishnan, Abhijeet and Chris Martens. “Synthesizing Chess Tactics from Player Games.” In Workshop on Artificial Intelligence for Strategy Games (SG) and Esports Analytics (EA), 18th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 2022.
  • Krishnan, Abhijeet and Chris Martens. “Towards the Automatic Synthesis of Interpretable Chess Tactics.” In Explainable Agency in Artificial Intelligence Workshop, 36th AAAI Conference on Artifcial Intelligence. 2022.
  • Krishnan, Abhijeet, Aaron Williams, and Chris Martens. “Towards Action Model Learning for Player Modeling.” Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. Vol. 16. No. 1. 2020.
  • Krishnan, Abhijeet and Chris Martens. “Rule-based Cognitive Modeling via Human-Computer Interaction”. Poster presented at: 5th LAS Research Symposium; 2019 Dec 10; Raleigh, NC.

Doctoral Exams

  • Krishnan, Abhijeet. “Interpretable Strategy Synthesis for Competitive Games” Submitted to the Department of Computer Science at North Carolina State University in partial fulfilment for the Doctoral Oral Preliminary Qualifier Exam. 2023.
  • Krishnan, Abhijeet. “Investigating the Application of Action Model Learning for Player Modeling” Submitted to the Department of Computer Science at North Carolina State University in partial fulfillment for the Doctoral Written Preliminary Qualifier Exam. 2020.