Publications

2024

Oracle-Efficient Reinforcement Learning for Max Value Ensembles

Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell

Arxiv Preprint, 2024

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Distributed Continual Learning

Long Le, Marcel Hussing, Eric Eaton

Arxiv Preprint, 2024

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Dissecting Deep RL with High Update Ratios: Combatting Value Divergence

Marcel Hussing*, Jorge A. Mendez*, Anisha Singrodia, Cassandra Kent, 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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2023

Replicable Reinforcement Learning

Eric Eaton, Marcel Hussing*, Jessica Sorrell*, Michael Kearns

Conference on Neural Information Processing Systems, 2023

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2022

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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2020

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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