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Markel Sanz Ausin
ORCID
Publication Activity (10 Years)
Years Active: 2018-2023
Publications (10 Years): 16
Top Topics
Temporal Abstractions
Extended Abstract
Policy Evaluation
Gaussian Processes
Top Venues
IEEE BigData
AIED (1)
Int. J. Artif. Intell. Educ.
CoRR
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Publications
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Ge Gao
,
Song Ju
,
Markel Sanz Ausin
,
Min Chi
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare.
CoRR
(2023)
Markel Sanz Ausin
,
Mehak Maniktala
,
Tiffany Barnes
,
Min Chi
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.
33 (4) (2023)
Ge Gao
,
Song Ju
,
Markel Sanz Ausin
,
Min Chi
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare.
AAMAS
(2023)
Markel Sanz Ausin
,
Mark Abdelshiheed
,
Tiffany Barnes
,
Min Chi
A Unified Batch Hierarchical Reinforcement Learning Framework for Pedagogical Policy Induction with Deep Bisimulation Metrics.
AIED (Posters/Late Breaking Results/...)
(2023)
Guojing Zhou
,
Hamoon Azizsoltani
,
Markel Sanz Ausin
,
Tiffany Barnes
,
Min Chi
Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction.
Int. J. Artif. Intell. Educ.
32 (2) (2022)
Markel Sanz Ausin
,
Hamoon Azizsoltani
,
Song Ju
,
Yeo-Jin Kim
,
Min Chi
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem.
CoRR
(2021)
Markel Sanz Ausin
,
Mehak Maniktala
,
Tiffany Barnes
,
Min Chi
Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks.
AIED (1)
(2021)
Markel Sanz Ausin
,
Hamoon Azizsoltani
,
Song Ju
,
Yeo-Jin Kim
,
Min Chi
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem.
IEEE BigData
(2021)
Yeo Jin Kim
,
Markel Sanz Ausin
,
Min Chi
Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention.
IEEE BigData
(2021)
Song Ju
,
Yeo Jin Kim
,
Markel Sanz Ausin
,
Maria E. Mayorga
,
Min Chi
To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning.
IEEE BigData
(2021)
Markel Sanz Ausin
,
Mehak Maniktala
,
Tiffany Barnes
,
Min Chi
Exploring the Impact of Simple Explanations and Agency on Batch Deep Reinforcement Learning Induced Pedagogical Policies.
AIED (1)
(2020)
Guojing Zhou
,
Hamoon Azizsoltani
,
Markel Sanz Ausin
,
Tiffany Barnes
,
Min Chi
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract).
IJCAI
(2020)
Markel Sanz Ausin
,
Hamoon Azizsoltani
,
Tiffany Barnes
,
Min Chi
Leveraging Deep Reinforcement Learning for Pedagogical Policy Induction in an Intelligent Tutoring System.
EDM
(2019)
Hamoon Azizsoltani
,
Yeo-Jin Kim
,
Markel Sanz Ausin
,
Tiffany Barnes
,
Min Chi
Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts.
IJCAI
(2019)
Guojing Zhou
,
Hamoon Azizsoltani
,
Markel Sanz Ausin
,
Tiffany Barnes
,
Min Chi
Hierarchical Reinforcement Learning for Pedagogical Policy Induction.
AIED (1)
(2019)
Shitian Shen
,
Markel Sanz Ausin
,
Behrooz Mostafavi
,
Min Chi
Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach.
UMAP
(2018)