Roland Hafner
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
6
Active years
2003–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICRA | DemoStart: Demonstration-Led Auto-Curriculum Applied to Sim-to-Real with Multi-Fingered Robots. | Maria Bauz, Jose Enriaue Chen, Valentin Dalibard, Nimrod Gileadi, Roland Hafner, Murilo F. Martins, Joss Moore, Rugile Pevceviciute, Antoine Laurens, Dushyant Rao, Martina Zambelli, Martin A. Riedmiller, Jon Scholz, Konstantinos Bousmalis, Francesco Nori, Nicolas Heess |
| 2024 | ICML | Offline Actor-Critic Reinforcement Learning Scales to Large Models. | Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller |
| 2024 | ICRA | Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. | Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller |
| 2024 | IROS | The Design of the Barkour Benchmark for Robot Agility. | Wenhao Yu, Ken Caluwaerts, Atil Iscen, J. Chase Kew, Tingnan Zhang, Daniel Freeman, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, Jos Enrique Chen, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Ofir Nachum, Ken Oslund, Francesco Romano, Fereshteh Sadeghi, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan, Kuang-Huei Lee |
| 2021 | CoRL | Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion. | Michael Bloesch, Jan Humplik, Viorica Patraucean, Roland Hafner, Tuomas Haarnoja, Arunkumar Byravan, Noah Yamamoto Siegel, Saran Tunyasuvunakool, Federico Casarini, Nathan Batchelor, Francesco Romano, Stefano Saliceti, Martin A. Riedmiller, S. M. Ali Eslami, Nicolas Heess |
| 2021 | CoRL | Collect & Infer - a fresh look at data-efficient Reinforcement Learning. | Martin A. Riedmiller, Jost Tobias Springenberg, Roland Hafner, Nicolas Heess |
| 2021 | ICML | Data-efficient Hindsight Off-policy Option Learning. | Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller |
| 2021 | ICRA | Representation Matters: Improving Perception and Exploration for Robotics. | Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller |
| 2020 | CoRL | Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion. | Roland Hafner, Tim Hertweck, Philipp Klppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin A. Riedmiller |
| 2020 | ICLR | Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning. | Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller |
| 2019 | CoRL | Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models. | Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki, Roland Hafner, Michael Neunert, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller |
| 2019 | CoRL | Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics. | Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, Martin A. Riedmiller |
| 2018 | ICML | Learning by Playing Solving Sparse Reward Tasks from Scratch. | Martin A. Riedmiller, Roland Hafner, Thomas Lampe, Michael Neunert, Jonas Degrave, Tom Van de Wiele, Vlad Mnih, Nicolas Heess, Jost Tobias Springenberg |
| 2008 | ICRA | Learning to dribble on a real robot by success and failure. | Martin A. Riedmiller, Roland Hafner, Sascha Lange, Martin Lauer |
| 2007 | ICRA | Neural Reinforcement Learning Controllers for a Real Robot Application. | Roland Hafner, Martin A. Riedmiller |
| 2007 | KI | Making a Robot Learn to Play Soccer Using Reward and Punishment. | Heiko Mller, Martin Lauer, Roland Hafner, Sascha Lange, Artur Merke, Martin A. Riedmiller |
| 2003 | IROS | Reinforcement learning on an omnidirectional mobile robot. | Roland Hafner, Martin A. Riedmiller |