Markel Sanz Ausin

20 papers A* 2A 2B 2Journal 7Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Perfecting Human-AI Interaction at Clinical Scale. Turning Production Signals into Safer, More Human Conversations. CoRR Subhabrata Mukherjee, Markel Sanz Ausin, Kriti Aggarwal, Debajyoti Datta, Shanil Puri, Woojeong Jin, Tanmay Laud, Neha Manjunath, Jiayuan Ding, Bibek Paudel, Jan Schellenberger, Zepeng Frazier Huo, Walter Shen, Nima Shirazian, Nate Potter, Sathvik Perkari, Darya Filippova, Anton Morozov, Austin Mease, Vivek Muppalla, Ghada Shakir, Alex Miller, Juliana Ghukasyan, Mariska Raglow-Defranco, Maggie Taylor, Herprit Mahal, Jonathan Agnew
2024	B	`conf`	More, May not the Better: Insights from Applying Deep Reinforcement Learning for Pedagogical Policy Induction. EDM Gyuhun Jung, Markel Sanz Ausin, Tiffany Barnes, Min Chi
2024	J	`jnl`	NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment. CoRR Gerald Shen, Zhilin Wang, Olivier Delalleau, Jiaqi Zeng, Yi Dong, Daniel Egert, Shengyang Sun, Jimmy J. Zhang, Sahil Jain, Ali Taghibakhshi, Markel Sanz Ausin, Ashwath Aithal, Oleksii Kuchaiev
2024	J	`jnl`	Polaris: A Safety-focused LLM Constellation Architecture for Healthcare. CoRR Subhabrata Mukherjee, Paul Gamble, Markel Sanz Ausin, Neel Kant, Kriti Aggarwal, Neha Manjunath, Debajyoti Datta, Zhengliang Liu, Jiayuan Ding, Sophia Busacca, Cezanne Bianco, Swapnil Sharma, Rae Lasko, Michelle Voisard, Sanchay Harneja, Darya Filippova, Gerry Meixiong, Kevin Cha, Amir Youssefi, Meyhaa Buvanesh, Howard Weingram, Sebastian Bierman-Lytle, Harpreet Singh Mangat, Kim Parikh, Saad Godil, Alex Miller
2023	—	`conf`	A Unified Batch Hierarchical Reinforcement Learning Framework for Pedagogical Policy Induction with Deep Bisimulation Metrics. AIED (Posters/Late Breaking Results/...) Markel Sanz Ausin, Mark Abdelshiheed, Tiffany Barnes, Min Chi
2023	A	`conf`	HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare. AAMAS Ge Gao, Song Ju, Markel Sanz Ausin, Min Chi
2023	J	`jnl`	HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare. CoRR Ge Gao, Song Ju, Markel Sanz Ausin, Min Chi
2023	J	`jnl`	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. Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi
2022	J	`jnl`	Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction. Int. J. Artif. Intell. Educ. Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi
2021	—	`conf`	InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem. IEEE BigData Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju, Yeo-Jin Kim, Min Chi
2021	J	`jnl`	InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem. CoRR Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju, Yeo-Jin Kim, Min Chi
2021	—	`conf`	Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention. IEEE BigData Yeo Jin Kim, Markel Sanz Ausin, Min Chi
2021	—	`conf`	Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks. AIED (1) Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi
2021	—	`conf`	To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning. IEEE BigData Song Ju, Yeo Jin Kim, Markel Sanz Ausin, Maria E. Mayorga, Min Chi
2020	—	`conf`	Exploring the Impact of Simple Explanations and Agency on Batch Deep Reinforcement Learning Induced Pedagogical Policies. AIED (1) Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi
2020	A*	`conf`	Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract). IJCAI Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi
2019	—	`conf`	Hierarchical Reinforcement Learning for Pedagogical Policy Induction. AIED (1) Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi
2019	B	`conf`	Leveraging Deep Reinforcement Learning for Pedagogical Policy Induction in an Intelligent Tutoring System. EDM Markel Sanz Ausin, Hamoon Azizsoltani, Tiffany Barnes, Min Chi
2019	A*	`conf`	Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts. IJCAI Hamoon Azizsoltani, Yeo-Jin Kim, Markel Sanz Ausin, Tiffany Barnes, Min Chi
2018	A	`conf`	Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach. UMAP Shitian Shen, Markel Sanz Ausin, Behrooz Mostafavi, Min Chi