Thomas Lampe

Bilal Piot

Bobak Shahriari

CoRR, 2024

Game On: Towards Language Models as RL Experimenters.

[BibT_eX]

[DOI]

Jingwei Zhang

Martin A. Riedmiller

CoRR, 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

Offline Actor-Critic Reinforcement Learning Scales to Large Models.

[BibT_eX]

[DOI]

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

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

[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

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2023

2022

How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation.

[BibT_eX]

[DOI]

Alex X. Lee

Coline Devin

Yuxiang Zhou

Konstantinos Bousmalis

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

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

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes.

[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

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

Roland Hafner

Proceedings of the Robotics: Science and Systems XVI, 2020

Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation.

[BibT_eX]

[DOI]

Konstantinos Bousmalis

Francesco Nori

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 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

2019

Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer.

[BibT_eX]

[DOI]

CoRR, 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

Roland Hafner

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

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards.

[BibT_eX]

[DOI]

CoRR, 2017

Data-efficient Deep Reinforcement Learning for Dexterous Manipulation.

[BibT_eX]

[DOI]

CoRR, 2017

2014

A brain-computer interface for high-level remote control of an autonomous, reinforcement-learning-based robotic system for reaching and grasping.

[BibT_eX]

[DOI]

Lukas Dominique Josef Fiederer

Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014

Approximate model-assisted Neural Fitted Q-Iteration.

[BibT_eX]

[DOI]

Martin A. Riedmiller

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Acquiring visual servoing reaching and grasping skills using neural reinforcement learning.

[BibT_eX]

[DOI]