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Jan Peters

TU Darmstadt, Department of Computer Science, Germany

31 papers at tracked venues · 17 at CORE A* · active 2024–2026

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Venues

ICLR ×8IROS ×8ICRA ×4AAAI ×3ICML ×3NeurIPS ×3ECCV ×1IJCAI ×1

Frequent coauthors

Théo Vincent
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João Carvalho
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Maximilian Stasica
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Lucas Schulze
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Onur Celik
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Khang Nguyen
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Nico Bohlinger
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Dominik Straub
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Erik Helmut
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Bang You
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Leon Keller
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Anish Abhijit Diwan
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Papers

  1. Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models (Abstract Reprint)
    AAAI 2026 ·
    João Carvalho
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  2. Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning
    ICLR 2025 ·
    Théo Vincent
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  3. Bridge the Gap: Enhancing Quadruped Locomotion with Vertical Ground Perturbations
    IROS 2025 ·
    Maximilian Stasica
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  4. Context-Aware Deep Lagrangian Networks for Model Predictive Control
    IROS 2025 ·
    Lucas Schulze
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  5. DIME: Diffusion-Based Maximum Entropy Reinforcement Learning
    ICML 2025 ·
    Onur Celik
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  6. FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching
    IROS 2025 ·
    Khang Nguyen
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  7. Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion
    IROS 2025 ·
    Nico Bohlinger
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  8. Inverse decision-making using neural amortized Bayesian actors
    ICLR 2025 ·
    Dominik Straub
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  9. Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis
    IROS 2025 ·
    Erik Helmut
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  10. Maximum Total Correlation Reinforcement Learning
    ICML 2025 ·
    Bang You
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  11. Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
    ICRA 2025 ·
    Leon Keller
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  12. Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation
    ICLR 2025 ·
    Anish Abhijit Diwan
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  13. QueryCAD: Grounded Question Answering for CAD Models
    ICRA 2025 ·
    Claudius Kienle
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  14. Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization
    NeurIPS 2025 ·
    Daniel Palenicek
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  15. Stable Port-Hamiltonian Neural Networks
    NeurIPS 2025 ·
    Fabian J. Roth
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  16. A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
    NeurIPS 2024 ·
    Puze Liu
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  17. Beyond the Cascade: Juggling Vanilla Siteswap Patterns
    IROS 2024 ·
    Mario Gomez Andreu
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  18. CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
    ICLR 2024 ·
    Aditya Bhatt
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  19. Domain Randomization via Entropy Maximization
    ICLR 2024 ·
    Gabriele Tiboni
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  20. Extended Tree Search for Robot Task and Motion Planning
    IROS 2024 ·
    Tianyu Ren
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  21. FruitBin: A Tunable Large-Scale Dataset for Advancing 6D Pose Estimation in Fruit Bin-Picking Automation
    ECCV 2024 ·
    Guillaume Duret
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  22. Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
    ICLR 2024 ·
    Ahmed Hendawy
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  23. Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
    ICRA 2024 ·
    Abby O'Neill
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  24. Parameterized Projected Bellman Operator
    AAAI 2024 ·
    Théo Vincent
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  25. Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations
    AAAI 2024 ·
    Cedric Derstroff
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  26. Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition
    IJCAI 2024 ·
    Felix Wiebe
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  27. Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula
    ICLR 2024 ·
    Aryaman Reddi
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  28. Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
    ICML 2024 ·
    Duy Minh Ho Nguyen
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  29. Time-Efficient Reinforcement Learning with Stochastic Stateful Policies
    ICLR 2024 ·
    Firas Al-Hafez
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  30. What Matters for Active Texture Recognition With Vision-Based Tactile Sensors
    ICRA 2024 ·
    Alina Böhm
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  31. Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot
    IROS 2024 ·
    Luca Lach
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