Claas Voelcker

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Amir-massoud FarahmandUniversity of TorontoVerified email at cs.toronto.edu
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
Marcel HussingUniversity of PennsylvaniaVerified email at seas.upenn.edu
Karl StelznerTU DarmstadtVerified email at cs.tu-darmstadt.de
Jannik KossenUniversity of OxfordVerified email at cs.ox.ac.uk
Animesh GargGeorgia Institute of Technology, University of Toronto, NvidiaVerified email at gatech.edu
Victor LiaoMaster's Student at University of WaterlooVerified email at uwaterloo.ca
Romina AbachiUniversity of Toronto, Vector InstituteVerified email at mail.utoronto.ca
Igor GilitschenskiAssistant Professor, University of TorontoVerified email at cs.toronto.edu
Arash AhmadianCohere For AIVerified email at mail.utoronto.ca
Alejandro MolinaAmazonVerified email at amazon.com

Claas Voelcker

PhD student at University of Toronto

Verified email at cs.toronto.edu

machine learning probabilistic models artificial intelligence reinforcement learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Structured object-aware physics prediction for video modeling and planning J Kossen, K Stelzner, M Hussing, C Voelcker, K Kersting arXiv preprint arXiv:1910.02425, 2019	62	2019
Value Gradient weighted Model-Based Reinforcement Learning C Voelcker, V Liao, A Garg, A Farahmand International Conference on Learning Representations, 2022	23	2022
Queer in AI: a case study in community-led participatory AI OO Queerinai, A Ovalle, A Subramonian, A Singh, C Voelcker, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023	10	2023
VIPer: Iterative Value-Aware Model Learning on the Value Improvement Path R Abachi, CA Voelcker, A Garg, A Farahmand Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 2022	3	2022
DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets C Voelcker, A Molina, J Neumann, D Westermann, K Kersting ECMLPKDD Workshop on Automating Data Science, 2019	3	2019
-AC: Learning latent decision-aware models for reinforcement learning in continuous state-spaces CA Voelcker, A Ahmadian, R Abachi, I Gilitschenski, A Farahmand arXiv preprint arXiv:2306.17366, 2023	1	2023
Dissecting Deep RL with High Update Ratios: Combatting Value Overestimation and Divergence M Hussing, C Voelcker, I Gilitschenski, A Farahmand, E Eaton arXiv preprint arXiv:2403.05996, 2024		2024
Local-Forward: Towards Biological Plausibility in Deep Reinforcement Learning J Guan, SE Verch, CA Voelcker, EC Jackson, N Papernot, ...		2023
Queer In AI: A Case Study in Community-Led Participatory AI OOFQIN AI, A OVALLE, A SUBRAMONIAN, A SINGH, C VOELCKER, ... arXiv preprint arXiv:2303.16972, 2023		2023

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