Hamoon Azizsoltani
According to our database1,
Hamoon Azizsoltani
authored at least 11 papers
between 2018 and 2022.
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Bibliography
2022
Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction.
Int. J. Artif. Intell. Educ., 2022
2021
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Automated Assessment of Computer Science Competencies from Student Programs with Gaussian Process Regression.
Proceedings of the 13th International Conference on Educational Data Mining, 2020
2019
Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement Learning.
Proceedings of the 12th International Conference on Educational Data Mining, 2019
Importance Sampling to Identify Empirically Valid Policies and their Critical Decisions.
Proceedings of the Joint Proceedings of the Workshops of the 12th International Conference on Educational Data Mining co-located with the 12th International Conference on Educational Data Mining, 2019
Leveraging Deep Reinforcement Learning for Pedagogical Policy Induction in an Intelligent Tutoring System.
Proceedings of the 12th International Conference on Educational Data Mining, 2019
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019
2018
Adaptive sequential strategy for risk estimation of engineering systems using Gaussian process regression active learning.
Eng. Appl. Artif. Intell., 2018