Markus Wulfmeier

CoRR, 2024

Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Growing Q-networks: Solving continuous control tasks with adaptive control resolution.

[BibT_eX]

[DOI]

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Real-world fluid directed rigid body control via deep reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots.

[BibT_eX]

[DOI]

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

Replay across Experiments: A Natural Extension of Off-Policy RL.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Massively Scalable Inverse Reinforcement Learning in Google Maps.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

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

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities.

[BibT_eX]

[DOI]

CoRR, 2023

Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Towards A Unified Agent with Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2023

Solving Continuous Control via Q-learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football".

[BibT_eX]

[DOI]

Dataset, August, 2022

From motor control to team play in simulated humanoid football.

[BibT_eX]

[DOI]

Sci. Robotics, 2022

Offline Distillation for Robot Lifelong Learning with Imbalanced Experience.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

The Challenges of Exploration for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Learning transferable motor skills with hierarchical latent mixture policies.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation.

[BibT_eX]

[DOI]

Todor Davchev

Oleg Olegovich Sushkov

Proceedings of the Tenth International Conference on Learning Representations, 2022

Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

MO2: Model-Based Offline Options.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 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

Strength Through Diversity: Robust Behavior Learning via Mixture Policies.

[BibT_eX]

[DOI]

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

Martin A. Riedmiller

Michael Bloesch

CoRR, 2020

Compositional Transfer in Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Abbas Abdolmaleki

Roland Hafner

Proceedings of the Robotics: Science and Systems XVI, 2020

Attention-Privileged Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

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

[BibT_eX]

[DOI]

Saran Tunyasuvunakool

Nicolas Heess

Martin A. Riedmiller

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Efficient Supervision for Robot Learning Via Imitation, Simulation, and Adaptation.

[BibT_eX]

[DOI]

Künstliche Intell., 2019

Disentangled Cumulants Help Successor Representations Transfer to New Tasks.

[BibT_eX]

[DOI]

CoRR, 2019

Attention Privileged Reinforcement Learning For Domain Transfer.

[BibT_eX]

[DOI]

CoRR, 2019

Regularized Hierarchical Policies for Compositional Transfer in Robotics.

[BibT_eX]

[DOI]

Abbas Abdolmaleki

Roland Hafner

CoRR, 2019

Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics.

[BibT_eX]

[DOI]

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

Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Efficient supervision for robot learning via imitation, simulation, and adaptation.

[BibT_eX]

[DOI]

PhD thesis, 2018

On Machine Learning and Structure for Mobile Robots.

[BibT_eX]

[DOI]

CoRR, 2018

Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing.

[BibT_eX]

[DOI]

CoRR, 2018

Incremental Adversarial Domain Adaptation for Continually Changing Environments.

[BibT_eX]

[DOI]

Alex Bewley

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

TACO: Learning Task Decomposition via Temporal Alignment for Control.

[BibT_eX]

[DOI]

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

2017

Large-scale cost function learning for path planning using deep inverse reinforcement learning.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2017

Incremental Adversarial Domain Adaptation.

[BibT_eX]

[DOI]

Alex Bewley

CoRR, 2017

Reverse Curriculum Generation for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Addressing appearance change in outdoor robotics with adversarial domain adaptation.

[BibT_eX]

[DOI]

Alex Bewley

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Mutual Alignment Transfer Learning.

[BibT_eX]

[DOI]

Pieter Abbeel

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Reverse Curriculum Generation for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

Incorporating Human Domain Knowledge into Large Scale Cost Function Learning.

[BibT_eX]

[DOI]

Dushyant Rao

CoRR, 2016

Watch this: Scalable cost-function learning for path planning in urban environments.

[BibT_eX]

[DOI]

Dominic Zeng Wang

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

Deep Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Peter Ondruska

CoRR, 2015

2014

Voronoi-Based Heuristic for Nonholonomic Search-Based Path Planning.

[BibT_eX]

[DOI]

Qi Wang