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Riedmiller, Martin

  1. Playing Atari with Deep Reinforcement Learning
    2013/12/19 by Volodymyr Mnih, Mnih, Volodymyr, Koray Kavukcuoglu +11 · 5 voices · 363 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence in Games #Reinforcement Learning in Robotics #cs.LG
  2. DeepMind Control Suite
    2018/01/02 by Yuval Tassa, Tassa, Yuval, Yotam Doron +21 · 2 voices · 142 citations
    Computer Science · #Distributed and Parallel Computing Systems #Parallel Computing and Optimization Techniques #Reinforcement Learning in Robotics #cs.AI
  3. Striving for Simplicity: The All Convolutional Net
    2014/12/21 by Springenberg, Jost Tobias, Dosovitskiy, Alexey, Brox, Thomas +1 · 50 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  4. Maximum a Posteriori Policy Optimisation
    2018/06/14 by Abdolmaleki, Abbas, Springenberg, Jost Tobias, Tassa, Yuval +3 · 28 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
  5. Graph networks as learnable physics engines for inference and control
    2018/06/04 by Álvaro Sánchez‐González, Sanchez-Gonzalez, Alvaro, Nicolas Heess +11 · 34 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Data Visualization and Analytics #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
    2015/06/24 by Manuel Watter, Jost Tobias Springenberg, Watter, Manuel +5 · 20 citations
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Neural Networks and Applications #Model Reduction and Neural Networks
  7. RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation
    2023/06/20 by Konstantinos Bousmalis, Giulia Vezzani, Bousmalis, Konstantinos +73 · 33 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Reinforcement Learning in Robotics
  8. Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
    2017/07/27 by Vecerik, Mel, Hester, Todd, Scholz, Jonathan +7 · 16 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  9. Emergence of Locomotion Behaviours in Rich Environments
    2017/07/07 by Nicolas Heess, Heess, Nicolas, Dhruva Tb +21 · 10 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robotic Locomotion and Control #Zebrafish Biomedical Research Applications
  10. TORAX: A Fast and Differentiable Tokamak Transport Simulator in JAX
    2024/06/10 by Jonathan Citrin, J. Citrin, Ian Goodfellow +29 · 2 voices · 5 citations
    Physics and Astronomy · Engineering · #physics.plasm-ph
  11. Learning by Playing - Solving Sparse Reward Tasks from Scratch
    2018/02/28 by Riedmiller, Martin, Hafner, Roland, Lampe, Thomas +6 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
  12. V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control
    2019/09/26 by Hao Song, Song, H. Francis, Abbas Abdolmaleki +25 · 7 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Single-cell and spatial transcriptomics #Zebrafish Biomedical Research Applications
  13. Improving Deep Neural Networks with Probabilistic Maxout Units
    2013/12/20 by Jost Tobias Springenberg, Springenberg, Jost Tobias, Martin Riedmiller +1 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning
  14. Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
    2021/11/03 by Seyde, Tim, Gilitschenski, Igor, Schwarting, Wilko +4 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  15. Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
    2021/10/12 by Lee, Alex X., Devin, Coline, Zhou, Yuxiang +18 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  16. Learning and Transfer of Modulated Locomotor Controllers
    2016/10/17 by Heess, Nicolas, Wayne, Greg, Tassa, Yuval +3 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Robotics (cs.RO)
  17. Relative Entropy Regularized Policy Iteration
    2018/12/05 by Abbas Abdolmaleki, Abdolmaleki, Abbas, Jost Tobias Springenberg +13 · 6 citations
    Computer Science · Engineering · #Adaptive Dynamic Programming Control #Advanced Control Systems Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  18. Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
    2017/04/10 by Popov, Ivaylo, Heess, Nicolas, Lillicrap, Timothy +7 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  19. Offline Actor-Critic Reinforcement Learning Scales to Large Models
    2024/02/08 by Jost Tobias Springenberg, Springenberg, Jost Tobias, Abbas Abdolmaleki +21 · 7 citations
    Psychology · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mental Health Research Topics #Robotics (cs.RO)
  20. Continuous-Discrete Reinforcement Learning for Hybrid Control in\n Robotics
    2020/01/02 by Michael Neunert, Neunert, Michael, Abbas Abdolmaleki +17 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Computer and information sciences #Formal Methods in Verification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Viral Infectious Diseases and Gene Expression in Insects
  21. Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification
    2020/10/20 by Daniel J. Mankowitz, Mankowitz, Daniel J., Dan A. Calian +13 · 3 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Real-Time Systems Scheduling #Reinforcement Learning in Robotics #Smart Grid Energy Management
  22. Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
    2024/05/03 by Dhruva Tirumala, Tirumala, Dhruva, Markus Wulfmeier +29 · 5 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Reinforcement Learning in Robotics #Robotics (cs.RO)
  23. Solving Continuous Control via Q-learning
    2022/10/22 by Seyde, Tim, Werner, Peter, Schwarting, Wilko +4 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  24. Robust Reinforcement Learning for Continuous Control with Model Misspecification
    2019/06/18 by Daniel J. Mankowitz, Mankowitz, Daniel J., Nir Levine +17 · 2 citations
    Computer Science · #Adaptive Dynamic Programming Control #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  25. Discriminative Unsupervised Feature Learning with Exemplar Convolutional\n Neural Networks
    2014/06/26 by Alexey Dosovitskiy, Philipp Fischer, Dosovitskiy, Alexey +7 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  26. Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
    2023/12/18 by Thomas Lampe, Lampe, Thomas, Abbas Abdolmaleki +27 · 4 citations
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
  27. A Distributional View on Multi-Objective Policy Optimization
    2020/05/15 by Abbas Abdolmaleki, Abdolmaleki, Abbas, Sandy H. Huang +16 · 2 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  28. On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning
    2021/06/15 by Abbas Abdolmaleki, Sandy H. Huang, Abdolmaleki, Abbas +25 · 2 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  29. Learning from negative feedback, or positive feedback or both
    2024/10/05 by Abbas Abdolmaleki, Abdolmaleki, Abbas, Bilal Piot +21 · 5 citations
    Computer Science · #Semantic Web and Ontologies
  30. Collect & Infer -- a fresh look at data-efficient Reinforcement Learning
    2021/08/23 by Martin Riedmiller, Riedmiller, Martin, Jost Tobias Springenberg +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  31. Imitating Language via Scalable Inverse Reinforcement Learning
    2024/09/02 by Markus Wulfmeier, Wulfmeier, Markus, Michael Bloesch +29 · 3 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Modular Robots and Swarm Intelligence
  32. A Generalist Dynamics Model for Control
    2023/05/18 by Ingmar Schubert, Jingwei Zhang, Schubert, Ingmar +17 · 2 citations
    Computer Science · Physics and Astronomy · #Neural Networks and Applications #Neural Networks and Reservoir Computing #Model Reduction and Neural Networks
  33. Multimodal Deep Learning for Robust RGB-D Object Recognition
    2015/07/24 by Eitel, Andreas, Springenberg, Jost Tobias, Spinello, Luciano +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Robotics (cs.RO)
  34. Towards practical reinforcement learning for tokamak magnetic control
    2023/07/21 by Tracey, Brendan D., Michi, Andrea, Chervonyi, Yuri +15 · 2 citations
    #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Plasma Physics (physics.plasm-ph)
  35. Replay across Experiments: A Natural Extension of Off-Policy RL
    2023/11/27 by Dhruva Tirumala, Thomas Lampe, Tirumala, Dhruva +21 · 2 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotic Locomotion and Control #Robotics (cs.RO)
  36. Self-supervised Learning of Image Embedding for Continuous Control
    2019/01/03 by Florensa, Carlos, Degrave, Jonas, Heess, Nicolas +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Robotics (cs.RO)
  37. Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models
    2019/10/09 by Byravan, Arunkumar, Springenberg, Jost Tobias, Abdolmaleki, Abbas +6 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Robotics (cs.RO)
  38. The Challenges of Exploration for Offline Reinforcement Learning
    2022/01/27 by Lambert, Nathan, Wulfmeier, Markus, Whitney, William +5 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  39. Towards A Unified Agent with Foundation Models
    2023/07/18 by Di Palo, Norman, Byravan, Arunkumar, Hasenclever, Leonard +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  40. DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots
    2024/09/10 by Maria Bauzá, José Enrique Chen, Bauza, Maria +29 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robot Manipulation and Learning #Robotic Mechanisms and Dynamics #Robotics (cs.RO) #Teaching and Learning Programming
  41. Improving cosmological reach of a gravitational wave observatory using Deep Loop Shaping
    2025/09/17 by Buchli, Jonas, Tracey, Brendan, Andric, Tomislav +28 · 3 citations
    #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering