Markel Sanz Ausin
Orcid: 0000-0002-4526-9252
According to our database1,
Markel Sanz Ausin
authored at least 15 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
2023
The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go A Long Way.
Int. J. Artif. Intell. Educ., December, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
A Unified Batch Hierarchical Reinforcement Learning Framework for Pedagogical Policy Induction with Deep Bisimulation Metrics.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023
2022
Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction.
Int. J. Artif. Intell. Educ., 2022
2021
Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 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
Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021
2020
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Exploring the Impact of Simple Explanations and Agency on Batch Deep Reinforcement Learning Induced Pedagogical Policies.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 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
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
Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018