Roland Hafner

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Offline Actor-Critic Reinforcement Learning Scales to Large Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Less is more - the Dispatcher/ Executor principle for multi-task Reinforcement Learning.

[BibT_eX]

[DOI]

Tim Hertweck

CoRR, 2023

Barkour: Benchmarking Animal-level Agility with Quadruped Robots.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Magnetic control of tokamak plasmas through deep reinforcement learning.

[BibT_eX]

[DOI]

Nat., 2022

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration.

[BibT_eX]

[DOI]

CoRR, 2021

Representation Matters: Improving Perception and Exploration for Robotics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Data-efficient Hindsight Off-policy Option Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Collect & Infer - a fresh look at data-efficient Reinforcement Learning.

[BibT_eX]

[DOI]

Nicolas Heess

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion.

[BibT_eX]

[DOI]

Saran Tunyasuvunakool

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

"What, not how": Solving an under-actuated insertion task from scratch.

[BibT_eX]

[DOI]

CoRR, 2020

Simple Sensor Intentions for Exploration.

[BibT_eX]

[DOI]

Tim Hertweck

Michael Bloesch

CoRR, 2020

Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Noah Y. Siegel

CoRR, 2020

Compositional Transfer in Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Markus Wulfmeier

Abbas Abdolmaleki

Proceedings of the Robotics: Science and Systems XVI, 2020

Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Noah Y. Siegel

Proceedings of the 8th International Conference on Learning Representations, 2020

Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion.

[BibT_eX]

[DOI]

Saran Tunyasuvunakool

Nicolas Heess

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models.

[BibT_eX]

[DOI]

Arunkumar Byravan

CoRR, 2019

Regularized Hierarchical Policies for Compositional Transfer in Robotics.

[BibT_eX]

[DOI]

Markus Wulfmeier

Abbas Abdolmaleki

CoRR, 2019

Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup.

[BibT_eX]

[DOI]

Devin Schwab

Murilo Fernandes Martins

Proceedings of the Robotics: Science and Systems XV, 2019

Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models.

[BibT_eX]

[DOI]

Arunkumar Byravan

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Learning by Playing Solving Sparse Reward Tasks from Scratch.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Data-efficient Deep Reinforcement Learning for Dexterous Manipulation.

[BibT_eX]

[DOI]

CoRR, 2017

PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations.

[BibT_eX]

[DOI]

CoRR, 2017

2011

Reinforcement learning in feedback control - Challenges and benchmarks from technical process control.

[BibT_eX]

[DOI]

Mach. Learn., 2011

2010

Cognitive concepts in autonomous soccer playing robots.

[BibT_eX]

[DOI]

Cogn. Syst. Res., 2010

2009

Dateneffiziente selbstlernende neuronale Regler

[BibT_eX]

[DOI]

PhD thesis, 2009

Reinforcement learning for robot soccer.

[BibT_eX]

[DOI]

Auton. Robots, 2009

2008

Learning to dribble on a real robot by success and failure.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007

Making a Robot Learn to Play Soccer Using Reward and Punishment.

[BibT_eX]

[DOI]

Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007

Neural Reinforcement Learning Controllers for a Real Robot Application.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

2006

Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter.

[BibT_eX]

[DOI]

Inform. Spektrum, 2006

2003

Reinforcement learning on an omnidirectional mobile robot.

[BibT_eX]

[DOI]