Marcel Hussing

According to our database, Marcel Hussing authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Replicable Reinforcement Learning with Linear Function Approximation.

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

CoRR, September, 2025

Relative Entropy Pathwise Policy Optimization.

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

CoRR, July, 2025

Slot-BERT: Self-supervised Object Discovery in Surgical Video.

Guiqiu Liao, Matjaz Jogan, Marcel Hussing, Kenta Nakahashi, Kazuhiro Yasufuku, Amin Madani, Eric Eaton, Daniel A. Hashimoto

CoRR, January, 2025

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video.

Guiqiu Liao, Matjaz Jogan, Marcel Hussing, Edward Zhang, Eric Eaton, Daniel A. Hashimoto

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Can we hop in general? A discussion of benchmark selection and design using the Hopper environment.

Claas Völcker, Marcel Hussing, Eric Eaton

CoRR, 2024

Distributed Continual Learning.

Long Le, Marcel Hussing, Eric Eaton

CoRR, 2024

Dissecting Deep RL with High Update Ratios: Combatting Value Overestimation and Divergence.

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

CoRR, 2024

Dissecting Deep RL with High Update Ratios: Combatting Value Divergence.

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

RLJ, 2024

Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning.

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

RLJ, 2024

Oracle-Efficient Reinforcement Learning for Max Value Ensembles.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Replicable Reinforcement Learning.

Eric Eaton, Marcel Hussing, Michael Kearns, Jessica Sorrell

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Land Use Prediction using Electro-Optical to SAR Few-Shot Transfer Learning.

Marcel Hussing, Karen Li, Eric Eaton

CoRR, 2022

CompoSuite: A Compositional Reinforcement Learning Benchmark.

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

Proceedings of the Conference on Lifelong Learning Agents, 2022

2020

Structured Object-Aware Physics Prediction for Video Modeling and Planning.

Jannik Kossen, Karl Stelzner, Marcel Hussing, Claas Voelcker, Kristian Kersting

Proceedings of the 8th International Conference on Learning Representations, 2020