Roland Hafner

53 papers A* 9A 2Misc 6Journal 33Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
DemoStart: Demonstration-Led Auto-Curriculum Applied to Sim-to-Real with Multi-Fingered Robots.
ICRA
Maria Bauzá, 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
2025 J jnl
Improving cosmological reach of a gravitational wave observatory using Deep Loop Shaping.
CoRR
Jonas Buchli, Brendan D. Tracey, Tomislav Andric, Christopher Wipf, Yu Him Justin Chiu, Matthias Lochbrunner, Craig Donner, Rana X. Adhikari, Jan Harms, Iain Barr, Roland Hafner, Andrea Huber, Abbas Abdolmaleki, Charlie Beattie, Joseph Betzwieser, Serkan Cabi, Jonas Degrave, Yuzhu Dong, Leslie Fritz, Anchal Gupta, Oliver Groth, Sandy H. Huang, Tamara Norman, Hannah Openshaw, Jameson Rollins, Greg Thornton, George Van Den Driessche, Markus Wulfmeier, Pushmeet Kohli, Martin A. Riedmiller, LIGO Instrument Team
2025 J jnl
NFQ2.0: The CartPole Benchmark Revisited.
CoRR
Sascha Lange, Roland Hafner, Martin A. Riedmiller
2025 J jnl
Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement.
CoRR
Michael Bloesch, Markus Wulfmeier, Philemon Brakel, Todor Davchev, Martina Zambelli, Jost Tobias Springenberg, Abbas Abdolmaleki, William F. Whitney, Nicolas Heess, Roland Hafner, Martin A. Riedmiller
2024 J jnl
DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots.
CoRR
Maria Bauzá, José Enrique 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 J jnl
Learning agile soccer skills for a bipedal robot with deep reinforcement learning.
Sci. Robotics
Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess
2024 A* conf
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots.
ICRA
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 A* conf
Offline Actor-Critic Reinforcement Learning Scales to Large Models.
ICML
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 J jnl
Offline Actor-Critic Reinforcement Learning Scales to Large Models.
CoRR
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 A conf
The Design of the Barkour Benchmark for Robot Agility.
IROS
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, José 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
2023 J jnl
Barkour: Benchmarking Animal-level Agility with Quadruped Robots.
CoRR
Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan
2023 J jnl
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning.
CoRR
Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Markus Wulfmeier, Jan Humplik, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess
2023 J jnl
Less is more - the Dispatcher/ Executor principle for multi-task Reinforcement Learning.
CoRR
Martin A. Riedmiller, Tim Hertweck, Roland Hafner
2023 J jnl
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots.
CoRR
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
2023 J jnl
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration.
Trans. Mach. Learn. Res.
Giulia Vezzani, Dhruva Tirumala, Markus Wulfmeier, Dushyant Rao, Abbas Abdolmaleki, Ben Moran, Tuomas Haarnoja, Jan Humplik, Roland Hafner, Michael Neunert, Claudio Fantacci, Tim Hertweck, Thomas Lampe, Fereshteh Sadeghi, Nicolas Heess, Martin A. Riedmiller
2022 J jnl
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors.
CoRR
Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Y. Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel, Raia Hadsell, Nicolas Heess
2022 J jnl
Magnetic control of tokamak plasmas through deep reinforcement learning.
Nat.
Jonas Degrave, Federico Felici, Jonas Buchli, Michael Neunert, Brendan D. Tracey, Francesco Carpanese, Timo Ewalds, Roland Hafner, Abbas Abdolmaleki, Diego de Las Casas, Craig Donner, Leslie Fritz, Cristian Galperti, Andrea Huber, James Keeling, Maria Tsimpoukelli, Jackie Kay, Antoine Merle, Jean-Marc Moret, Seb Noury, Federico Pesamosca, David Pfau, Olivier Sauter, Cristian Sommariva, Stefano Coda, Basil Duval, Ambrogio Fasoli, Pushmeet Kohli, Koray Kavukcuoglu, Demis Hassabis, Martin A. Riedmiller
2022 J jnl
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration.
CoRR
Giulia Vezzani, Dhruva Tirumala, Markus Wulfmeier, Dushyant Rao, Abbas Abdolmaleki, Ben Moran, Tuomas Haarnoja, Jan Humplik, Roland Hafner, Michael Neunert, Claudio Fantacci, Tim Hertweck, Thomas Lampe, Fereshteh Sadeghi, Nicolas Heess, Martin A. Riedmiller
2021 Misc conf
Collect & Infer - a fresh look at data-efficient Reinforcement Learning.
CoRL
Martin A. Riedmiller, Jost Tobias Springenberg, Roland Hafner, Nicolas Heess
2021 J jnl
Collect & Infer - a fresh look at data-efficient Reinforcement Learning.
CoRR
Martin A. Riedmiller, Jost Tobias Springenberg, Roland Hafner, Nicolas Heess
2021 A* conf
Data-efficient Hindsight Off-policy Option Learning.
ICML
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 J jnl
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration.
CoRR
Oliver Groth, Markus Wulfmeier, Giulia Vezzani, Vibhavari Dasagi, Tim Hertweck, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
2021 A* conf
Representation Matters: Improving Perception and Exploration for Robotics.
ICRA
Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller
2021 Misc conf
Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion.
CoRL
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
2020 J jnl
"What, not how": Solving an under-actuated insertion task from scratch.
CoRR
Giulia Vezzani, Michael Neunert, Markus Wulfmeier, Rae Jeong, Thomas Lampe, Noah Y. Siegel, Roland Hafner, Abbas Abdolmaleki, Martin A. Riedmiller, Francesco Nori
2020 — conf
Compositional Transfer in Hierarchical Reinforcement Learning.
Robotics: Science and Systems
Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Noah Y. Siegel, Tim Hertweck, Thomas Lampe, Nicolas Heess, Martin A. Riedmiller
2020 J jnl
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics.
CoRR
Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, Martin A. Riedmiller
2020 J jnl
Data-efficient Hindsight Off-policy Option Learning.
CoRR
Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2020 A* conf
Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning.
ICLR
Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
2020 J jnl
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning.
CoRR
Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
2020 J jnl
Representation Matters: Improving Perception and Exploration for Robotics.
CoRR
Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller
2020 J jnl
Simple Sensor Intentions for Exploration.
CoRR
Tim Hertweck, Martin A. Riedmiller, Michael Bloesch, Jost Tobias Springenberg, Noah Y. Siegel, Markus Wulfmeier, Roland Hafner, Nicolas Heess
2020 Misc conf
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion.
CoRL
Roland Hafner, Tim Hertweck, Philipp Klöppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin A. Riedmiller
2020 J jnl
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion.
CoRR
Roland Hafner, Tim Hertweck, Philipp Klöppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin A. Riedmiller
2019 Misc conf
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics.
CoRL
Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, Martin A. Riedmiller
2019 Misc conf
Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models.
CoRL
Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki, Roland Hafner, Michael Neunert, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2019 J jnl
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models.
CoRR
Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki, Roland Hafner, Michael Neunert, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2019 J jnl
Regularized Hierarchical Policies for Compositional Transfer in Robotics.
CoRR
Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Tim Hertweck, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2019 — conf
Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup.
Robotics: Science and Systems
Devin Schwab, Jost Tobias Springenberg, Murilo Fernandes Martins, Michael Neunert, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Roland Hafner, Francesco Nori, Martin A. Riedmiller
2019 J jnl
Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup.
CoRR
Devin Schwab, Jost Tobias Springenberg, Murilo F. Martins, Thomas Lampe, Michael Neunert, Abbas Abdolmaleki, Tim Hertweck, Roland Hafner, Francesco Nori, Martin A. Riedmiller
2018 J jnl
Learning by Playing - Solving Sparse Reward Tasks from Scratch.
CoRR
Martin A. Riedmiller, Roland Hafner, Thomas Lampe, Michael Neunert, Jonas Degrave, Tom Van de Wiele, Volodymyr Mnih, Nicolas Heess, Jost Tobias Springenberg
2018 A* conf
Learning by Playing Solving Sparse Reward Tasks from Scratch.
ICML
Martin A. Riedmiller, Roland Hafner, Thomas Lampe, Michael Neunert, Jonas Degrave, Tom Van de Wiele, Vlad Mnih, Nicolas Heess, Jost Tobias Springenberg
2017 J jnl
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation.
CoRR
Ivaylo Popov, Nicolas Heess, Timothy P. Lillicrap, Roland Hafner, Gabriel Barth-Maron, Matej Vecerík, Thomas Lampe, Yuval Tassa, Tom Erez, Martin A. Riedmiller
2017 J jnl
PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations.
CoRR
Rico Jonschkowski, Roland Hafner, Jonathan Scholz, Martin A. Riedmiller
2011 J jnl
Reinforcement learning in feedback control - Challenges and benchmarks from technical process control.
Mach. Learn.
Roland Hafner, Martin A. Riedmiller
2010 J jnl
Cognitive concepts in autonomous soccer playing robots.
Cogn. Syst. Res.
Martin Lauer, Roland Hafner, Sascha Lange, Martin A. Riedmiller
2009 — —
Dateneffiziente selbstlernende neuronale Regler
Roland Hafner
2009 J jnl
Reinforcement learning for robot soccer.
Auton. Robots
Martin A. Riedmiller, Thomas Gabel, Roland Hafner, Sascha Lange
2008 A* conf
Learning to dribble on a real robot by success and failure.
ICRA
Martin A. Riedmiller, Roland Hafner, Sascha Lange, Martin Lauer
2007 Misc conf
Making a Robot Learn to Play Soccer Using Reward and Punishment.
KI
Heiko Müller, Martin Lauer, Roland Hafner, Sascha Lange, Artur Merke, Martin A. Riedmiller
2007 A* conf
Neural Reinforcement Learning Controllers for a Real Robot Application.
ICRA
Roland Hafner, Martin A. Riedmiller
2006 J jnl
Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter.
Inform. Spektrum
Martin A. Riedmiller, Thomas Gabel, Roland Hafner, Sascha Lange, Martin Lauer
2003 A conf
Reinforcement learning on an omnidirectional mobile robot.
IROS
Roland Hafner, Martin A. Riedmiller