Jan Peters
- Reinforcement learning in robotics: A survey
2013/08/23 by Jens Kober, J. Andrew Bagnell, Jan Peters · 99 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models
2023/10/13 by Embodiment Collaboration, O'Neill, Abby, Rehman, Abdul +349 · 172 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
2023/08/03 by J. Frederico Carvalho, Carvalho, Joao, An T. Le +7 · 44 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics #Robotics (cs.RO)
- SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion
2022/09/08 by Julen Urain, Urain, Julen, Niklas Funk +5 · 28 citations
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
2019/07/10 by Michael Lutter, Lutter, Michael, Christian Ritter +3 · 20 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
2019/02/14 by Aditya Bhatt, Daniel Palenicek, Bhatt, Aditya +11 · 16 citations
Computer Science · Physics and Astronomy · #Reinforcement Learning in Robotics #Model Reduction and Neural Networks
- HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
2020/12/07 by Alexander I. Cowen-Rivers, Cowen-Rivers, Alexander I., Wenlong Lyu +19 · 14 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Data Classification #Optimization and Control (math.OC)
- Robot Learning from Randomized Simulations: A Review
2021/11/01 by Fabio Muratore, Muratore, Fabio, Fábio Ramos +9 · 12 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Robotics (cs.RO)
- Learning to Play Table Tennis From Scratch using Muscular Robots
2020/06/10 by Dieter Büchler, Büchler, Dieter, Simon Guist +9 · 8 citations
Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Muscle activation and electromyography studies #Prosthetics and Rehabilitation Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
2023/11/19 by Ahmed Hendawy, Jan Peters, Hendawy, Ahmed +3 · 10 citations
Computer Science · #Reinforcement Learning in Robotics #Mobile Crowdsensing and Crowdsourcing #Domain Adaptation and Few-Shot Learning
- LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion
2023/11/04 by Firas Al-Hafez, Al-Hafez, Firas, Guoping Zhao +5 · 10 citations
Computer Science · Engineering · #Human Pose and Action Recognition #Human Motion and Animation #Robotic Locomotion and Control
- Self-Paced Deep Reinforcement Learning
2020/04/24 by Pascal Klink, Klink, Pascal, Carlo D’Eramo +5 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
- Differentiable Physics Models for Real-world Offline Model-based\n Reinforcement Learning
2020/11/03 by Michael Lutter, Johannes Silberbauer, Lutter, Michael +5 · 5 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Real-time simulation and control systems #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
2021/10/05 by Michael Lutter, Jan Peters, Lutter, Michael +1 · 5 citations
Computer Science · Engineering · Physics and Astronomy · #Advanced Data Processing Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Modeling and Simulation Systems #Robotics (cs.RO)
- ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by\n Normalizing Flows
2020/10/25 by Julen Urain, Urain, Julen, Michelle Ginesi +5 · 4 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Reinforcement Learning in Robotics #Generative Adversarial Networks and Image Synthesis
- ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching
2024/09/06 by Niklas Funk, Julen Urain, Funk, Niklas +9 · 9 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Auction Theory and Applications #Data Stream Mining Techniques #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes
2022/10/07 by Joe Watson, Jan Peters, Watson, Joe +1 · 3 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Reinforcement Learning in Robotics #Advanced Multi-Objective Optimization Algorithms
- Model-Free Trajectory-based Policy Optimization with Monotonic Improvement
2016/06/29 by Riad Akrour, Akrour, Riad, Abbas Abdolmaleki +7 · 2 citations
Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Machine Learning and Algorithms
- Domain Randomization via Entropy Maximization
2023/11/03 by Gabriele Tiboni, Tiboni, Gabriele, Pascal Klink +9 · 3 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
2021/05/11 by Julen Urain, Anqi Li, Urain, Julen +7 · 2 citations
Engineering · Computer Science · #Human Motion and Animation #Reinforcement Learning in Robotics
- Value Iteration in Continuous Actions, States and Time
2021/05/10 by Michael Lutter, Lutter, Michael, Shie Mannor +7 · 2 citations
Computer Science · Engineering · #Advanced Control Systems Optimization #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Accelerating Motion Planning via Optimal Transport
2023/09/27 by An T. Le, Le, An T., Georgia Chalvatzaki +5 · 3 citations
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Optimization and Control (math.OC) #Robotic Path Planning Algorithms #Robotics (cs.RO) #Robotics and Sensor-Based Localization
- Learning to Fly via Deep Model-Based Reinforcement Learning
2020/03/19 by Philip Becker-Ehmck, Becker-Ehmck, Philip, Maximilian Karl +5 · 3 citations
Computer Science · Engineering · #Reinforcement Learning in Robotics #Gaussian Processes and Bayesian Inference #Robotics and Sensor-Based Localization
- Active Exploration for Robotic Manipulation
2022/10/23 by Tim Schneider, Boris Belousov, Schneider, Tim +9 · 2 citations
Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- Global Tensor Motion Planning
2024/11/28 by An T. Le, Kay Hansel, Le, An T. +13 · 4 citations
Engineering · #Artificial Intelligence (cs.AI) #Control and Dynamics of Mobile Robots #Dynamics and Control of Mechanical Systems #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Robotic Mechanisms and Dynamics #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
2023/03/01 by Firas Al-Hafez, Davide Tateo, Al-Hafez, Firas +7 · 2 citations
Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Fast and Robust Visuomotor Riemannian Flow Matching Policy
2024/12/14 by Haoran Ding, Ding, Haoran, Noémie Jaquier +5 · 5 citations
Computer Science · #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Continuous Action Reinforcement Learning from a Mixture of Interpretable\n Experts
2020/06/10 by Riad Akrour, Davide Tateo, Akrour, Riad +3 · 1 citation
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
- Towards Embodiment Scaling Laws in Robot Locomotion
2025/05/09 by Bo Ai, Dai Liu, Ai, Bo +17 · 6 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Motion and Animation #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- Active Inference or Control as Inference? A Unifying View
2020/10/01 by Joe Watson, Abraham Imohiosen, Watson, Joe +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Neuroscience · #Embodied and Extended Cognition #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function
- Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3
2024/12/11 by João Andrade de Carvalho, Carvalho, Joao, An T. Le +11 · 3 citations
Computer Science · #Computer Graphics and Visualization Techniques
- Efficient and Reactive Planning for High Speed Robot Air Hockey
2021/07/13 by Puze Liu, Davide Tateo, Liu, Puze +5 · 1 citation
Computer Science · #Robotic Path Planning Algorithms #Artificial Intelligence in Games #Formal Methods in Verification
- Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model
2024/07/05 by Duy M. H. Nguyen, Nguyen, Duy M. H., An T. Le +17 · 2 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
- Learning Stable Vector Fields on Lie Groups
2021/10/22 by Julen Urain, Urain, Julen, Davide Tateo +3 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- Machine Learning with Physics Knowledge for Prediction: A Survey
2024/08/19 by Joe Watson, Chen Song, Watson, Joe +26 · 2 citations
Computer Science · #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Numerical Analysis (math.NA)
- Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing
2022/10/05 by Luca Lach, Lach, Luca, Niklas Funk +11 · 1 citation
Engineering · Neuroscience · #FOS: Computer and information sciences #Motor Control and Adaptation #Robot Manipulation and Learning #Robotics (cs.RO) #Tactile and Sensory Interactions
- f-Divergence constrained policy improvement
2017/12/29 by Boris Belousov, Jan Peters, Belousov, Boris +1 · 1 citation
Social Sciences · #Regional Development and Policy
- Information-Theoretic Safe Exploration with Gaussian Processes
2022/12/09 by Alessandro G. Bottero, Bottero, Alessandro G., Carlos E. Luis +7 · 1 citation
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Data Classification #Target Tracking and Data Fusion in Sensor Networks
- Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks
2023/01/11 by Piotr Kicki, Puze Liu, Kicki, Piotr +11 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #I.2.6 #I.2.9 #Multimodal Machine Learning Applications #Robotic Path Planning Algorithms #Robotics (cs.RO)
- Eau De Q-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning
2025/03/03 by Théo Vincent, Tim Faust, Vincent, Théo +9 · 1 voice · 2 citations
Computer Science · #Neural Networks and Applications
- Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
2023/03/07 by Daniel Palenicek, Michael Lutter, Palenicek, Daniel +5 · 1 citation
Computer Science · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Software Engineering Research
- Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation
2025/01/24 by Anish Abhijit Diwan, Julen Urain, Diwan, Anish Abhijit +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Music and Audio Processing #Neural Networks and Applications #Robotics (cs.RO)
- Tactile MNIST: Benchmarking Active Tactile Perception
2025/06/03 by Tim Schneider, Guillaume Duret, Schneider, Tim +9 · 2 citations
Neuroscience · #Tactile and Sensory Interactions
- Robust Localization, Mapping, and Navigation for Quadruped Robots
2025/05/04 by Dyuman Aditya, Junning Huang, Aditya, Dyuman +13 · 2 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Robotic Path Planning Algorithms #Robotics (cs.RO) #Robotics and Sensor-Based Localization
- The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control
2024/11/02 by Oleg Kaidanov, Kaidanov, Oleg, Firas Al-Hafez +7 · 1 citation
Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Muscle activation and electromyography studies #Robotics (cs.RO)
- Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning
2024/08/26 by Piotr Kicki, Kicki, Piotr, Davide Tateo +9 · 1 citation
Computer Science · Engineering · #Reinforcement Learning in Robotics #Autonomous Vehicle Technology and Safety
- Stable Port-Hamiltonian Neural Networks
2025/02/04 by Fabian Roth, Roth, Fabian J., Dominik K. Klein +7 · 1 citation
Computer Science · Engineering · Physics and Astronomy · #Control and Stability of Dynamical Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
- Catch, Throw, Repeat: Planning for Human-Robot Partner Juggling
2026/07/16 by Jonathan Rainer Lippert, Kai Ploeger, Abir Chowdhury +3 · 1 voice
#cs.RO #cs.HC #cs.SY #eess.SY