Selected Publications

Limitations of Synthetic Data Generation in Specialized Data-Scarce Domains

Edward Zhang, Marcel Hussing, Tanay Tandon, Shenbagaraj Kannapiran, Jason Hughes, Youkang Wang, Joshua Caswell, Agelos Kratimenos, Yi Fan Li, Milan Manoj, Ethan Sanchez, Sumukh Shrote, Camillo Jose Taylor, Daniel A. Hashimoto, Eric Eaton

arXiv Preprint, 2026

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Model Agreement via Anchoring

Eric Eaton, Surbhi Goel, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell

Conference on Learning Theory, 2026

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Reward Bias Substitution: Single-Axis Bias Mitigations Redirect Optimization Pressure

Max Lamparth, Daniel Fein, Andreas Haupt, Marcel Hussing, Mykel J. Kochenderfer

arXiv Preprint, 2026

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Behavior-Consistent Deep Reinforcement Learning

Marcel Hussing*, Liv G. d'Aliberti*, Claas Voelcker, Benjamin Eysenbach, Eric Eaton

arXiv Preprint, 2026

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Iterative Compositional Data Generation for Robot Control

Anh-Quan Pham, Marcel Hussing, Shubhankar P. Patankar, Dani S. Bassett, Jorge Mendez-Mendez, Eric Eaton

Transactions on Machine Learning Research, 2026

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Replicable Reinforcement Learning with Linear Function Approximation

(α–β) Eric Eaton, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell

International Conference on Learning Representations, 2026

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Relative Entropy Pathwise Policy Optimization

Claas Voelcker, Axel Brunnbauer, Marcel Hussing, Michal Nauman, Pieter Abbeel, Eric Eaton, Radu Grosu, Amir-massoud Farahmand, Igor Gilitschenski

International Conference on Learning Representations, 2026

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Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces

(α–β) Eric Eaton, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell

International Conference on Machine Learning, 2025

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Mad-td: Model-augmented data stabilizes high update ratio rl

Claas A Voelcker*, Marcel Hussing*, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski

International Conference on Learning Representations (Spotlight), 2025

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Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

G Liao, M Jogan, M Hussing, E Zhang, E Eaton, DA Hashimoto

International Conference on Medical Image Computing and Computer Assisted Intervention, 2025

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Oracle-Efficient Reinforcement Learning for Max Value Ensembles

(α–β) Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell

Conference on Neural Information Processing Systems, 2024

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Dissecting Deep RL with High Update Ratios: Combatting Value Divergence

Marcel Hussing*, Claas A Voelcker*, Amir Massoud Farahmand, Igor Gilitschenski, Eric Eaton

Reinforcement Learning Conference, 2024

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Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning

Marcel Hussing*, Jorge A. Mendez*, Anisha Singrodia, Cassandra Kent, Eric Eaton

Reinforcement Learning Conference, 2024

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Replicable Reinforcement Learning

(α–β) Eric Eaton, Marcel Hussing, Michael Kearns, Jessica Sorrell

Conference on Neural Information Processing Systems, 2023

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CompoSuite: A Compositional Reinforcement Learning Benchmark

Jorge A. Mendez*, Marcel Hussing*, Meghna Gummadi, Eric Eaton

Conference on Lifelong Learning Agents, 2022

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Structured Object-Aware Physics Prediction for Video Modeling and Planning

Jannik Kossen*, Karl Stelzner*, Marcel Hussing, Claas A. Voelcker, Kristian Kersting

International Conference on Learning Representations, 2020

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