Papers matching “model-free reinforcement learning” 28
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Reinforcement Learning in Infinite State Spaces: Convergence Guarantees via Stable Exploration2026 HAL (Le Centre pour la Communication Scientifique Directe) preprint Computer Science Reinforcement Learning in Robotics
Vittorio Puricelli, Urtzi Ayesta, Matthieu Jonckheere, Michel Mandjes
0citations -
Self-optimizing adaptive optics control with reinforcement learning for high-contrast imaging2021 Journal of Astronomical Telescopes Instruments and Systems article Physics and Astronomy Adaptive optics and wavefront sensing Open access
Rico Landman, Sebastiaan Y. Haffert, Vikram Mark Radhakrishnan, Christoph U. Keller
27citations -
A deep reinforcement learning approach to wavefront control for exoplanet imaging2024 Space Telescopes and Instrumentation: Optical, Infrared, and Millimeter Wave conference-paper Physics and Astronomy Adaptive optics and wavefront sensing Open access
Yann Gutierrez, Johan Mazoyer, Olivier Herscovici-Schiller, Laurent M. Mugnier, B. Abeloos, Iva Laginja
1citations -
A Deep Reinforcement Learning Approach to Wavefront Control for Exoplanet Imaging2024 arXiv (Cornell University) preprint Physics and Astronomy Adaptive optics and wavefront sensing Open access
Yann Gutierrez, Johan Mazoyer, Olivier Herscovici-Schiller, Laurent M. Mugnier, B. Abeloos, Iva Laginja
0citations -
Design and Analysis of a Torque Controller for an IPMSM using Reinforcement Learning2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific) conference-paper Engineering Sensorless Control of Electric Motors
Hafsa Murtaza Kaboolio, Anne von Hoegen, Rik W. De Doncker, Nisai H. Fuengwarodsakul
0citations -
Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization2025 Lecture notes in computer science conference-paper Computer Science Reinforcement Learning in Robotics Open access
Pierre-François Massiani, Alexander von Rohr, Lukas Haverbeck, Sebastian Trimpe
0citations -
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses2023 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Reinforcement Learning in Robotics
Hongzhuo Liang, Cong Lin, Jianzhi Lyu, Pingfa Feng, Jianwei Zhang
25citations -
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access
Bernd Frauenknecht, Artur Eisele, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe
2citations