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Interpretable Strategy Synthesis for Competitive Games

Abhijeet Krishnan
Submitted to the Department of Computer Science at North Carolina State University in partial fulfilment of the requirements for the Degree of Doctor of Philosophy, 2024
Thesis · Slides

Learning Explainable Representations of Complex Game-playing Strategies

Abhijeet Krishnan, Colin M. Potts, Arnav Jhala, Harshad Khadilkar, Shirish Karande, Chris Martens
Proceedings of the Eleventh Annual Conference on Advances in Cognitive Systems, 2024
Paper · Poster

Interpretable Strategy Synthesis for Competitive Games

Abhijeet Krishnan
Submitted to the Department of Computer Science at North Carolina State University in partial fulfilment for the Doctoral Oral Preliminary Qualifier Exam, 2023
Proposal · Slides

Synthesizing Chess Tactics from Player Games

Abhijeet Krishnan, Chris Martens
Workshop on Artificial Intelligence for Strategy Games (SG) and Esports Analytics (EA), 18th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2022
Paper · Slides · External

Towards the Automatic Synthesis of Interpretable Chess Tactics

Abhijeet Krishnan, Chris Martens
Explainable Agency in Artificial Intelligence Workshop, 36th AAAI Conference on Artificial Intelligence, 2022
Paper · Slides

Towards Action Model Learning for Player Modeling

Abhijeet Krishnan, Aaron Williams, Chris Martens
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020
Paper · Code · External · Video

Investigating the Application of Action Model Learning for Player Modeling

Abhijeet Krishnan
Submitted to the Department of Computer Science at North Carolina State University in partial fulfillment for the Doctoral Written Preliminary Qualifier Exam, 2020
Paper · Slides

Rule-based Cognitive Modeling via Human-Computer Interaction

Abhijeet Krishnan, Chris Martens
Poster presented at: 5th LAS Research Symposium, 2019
Poster · External