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Publications

Displaying results 1911 to 1920 of 15195.

  1. Lucas Schulze; Jan Peters; Oleg Arenz

    Context-Aware Deep Lagrangian Networks for Model Predictive Control

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.15249, Pages 1-8, arXiv, 2025.

  2. Khang Nguyen; An T. Le; Jan Peters; Minh Nhat Vu

    DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid Locomotion

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.12095, Pages 1-8, arXiv, 2025.

  3. Tim Schneider; Guillaume Duret; Cristiana de Farias; Roberto Calandra; Liming Chen; Jan Peters

    Tactile MNIST: Benchmarking Active Tactile Perception

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.06361, Pages 1-39, arXiv, 2025.

  4. Théo Vincent; Yogesh Tripathi; Tim Lukas Faust; Yaniv Oren; Jan Peters; Carlo D'Eramo

    Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning With Iterated Q-Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.04398, Pages 1-22, arXiv, 2025.

  5. Bang You; Puze Liu; Huaping Liu; Jan Peters; Oleg Arenz

    Maximum Total Correlation Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.16734, Pages 1-23, arXiv, 2025.

  6. Khang Nguyen; Khai Nguyen; An T. Le; Jan Peters; Manfred Huber; Ngo Anh Vien; Minh Nhat Vu

    TD-GRPC: Temporal Difference Learning with Group Relative Policy Constraint for Humanoid Locomotion

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.13549, Pages 1-8, arXiv, 2025.

  7. Arseny Skryagin; Felix Divo; Mohammad Amin Ali; Devendra Singh Dhami; Kristian Kersting

    Graph Neural Networks Need Cluster-Normalize-Activate Modules

    In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. Neural Information Processing Systems (NeurIPS), arXiv, 2024.

  8. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting; Adam Dziedzic; Franziska Boenisch

    Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models

    In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. Neural Information Processing Systems (NeurIPS), arXiv, 2024.

  9. Quentin Delfosse; Sebastian Sztwiertnia; Mark Rothermel; Wolfgang Stammer; Kristian Kersting

    Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

    In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. International Conference on Neural Information Processing (ICONIP), arXiv, 2024.

  10. Björn Deiseroth; Max Meuer; Nikolas Gritsch; Constantin Eichenberg; Patrick Schramowski; Matthias Aßenmacher; Kristian Kersting

    Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization

    In: Kevin Duh; Helena Gómez-Adorno; Steven Bethard (Hrsg.). Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL), Pages 6764-6783, Association for Computational Linguistics, 2024.

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