Acquiring visual servoing reaching and grasping skills using neural reinforcement learning. - Thomas Lampe; Martin A. Riedmiller (IJCNN, 2013)

Approximate model-assisted Neural Fitted Q-Iteration. - Thomas Lampe; Martin A. Riedmiller (IJCNN, 2014)

A brain-computer interface for high-level remote control of an autonomous, reinforcement-learning-based robotic system for reaching and grasping. - Thomas Lampe; Lukas Dominique Josef Fiederer; Martin Voelker; Alexander Knorr; Martin A. Riedmiller; Tonio Ball (IUI, 2014)

Data-efficient Deep Reinforcement Learning for Dexterous Manipulation. - Ivaylo Popov; Nicolas Heess; Timothy P. Lillicrap; Roland Hafner; Gabriel Barth-Maron; Matej Vecerík; Thomas Lampe; Yuval Tassa; Tom Erez; Martin A. Riedmiller (CoRR, 2017)

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards. - Matej Vecerík; Todd Hester; Jonathan Scholz; Fumin Wang; Olivier Pietquin; Bilal Piot; Nicolas Heess; Thomas Rothörl; Thomas Lampe; Martin A. Riedmiller (CoRR, 2017)

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 (ICML, 2018)

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 (CoRL, 2019)

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 (CoRL, 2019)

Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup. - Devin Schwab; Jost Tobias Springenberg; Murilo Fernandes Martins; Michael Neunert; Thomas Lampe; Abbas Abdolmaleki; Tim Hertweck; Roland Hafner; Francesco Nori; Martin A. Riedmiller (Robotics: Science and Systems, 2019)

Regularized Hierarchical Policies for Compositional Transfer in Robotics. - Markus Wulfmeier; Abbas Abdolmaleki; Roland Hafner; Jost Tobias Springenberg; Michael Neunert; Tim Hertweck; Thomas Lampe; Noah Y. Siegel; Nicolas Heess; Martin A. Riedmiller (CoRR, 2019)

Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models. - Arunkumar Byravan; Jost Tobias Springenberg; Abbas Abdolmaleki; Roland Hafner; Michael Neunert; Thomas Lampe; Noah Y. Siegel; Nicolas Heess; Martin A. Riedmiller (CoRR, 2019)

Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer. - Rae Jeong; Jackie Kay; Francesco Romano; Thomas Lampe; Thomas Rothörl; Abbas Abdolmaleki; Tom Erez; Yuval Tassa; Francesco Nori (CoRR, 2019)

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 (ICLR, 2020)

Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation. - Rae Jeong; Yusuf Aytar; David Khosid; Yuxiang Zhou; Jackie Kay; Thomas Lampe; Konstantinos Bousmalis; Francesco Nori (ICRA, 2020)

Compositional Transfer in Hierarchical Reinforcement Learning. - Markus Wulfmeier; Abbas Abdolmaleki; Roland Hafner; Jost Tobias Springenberg; Michael Neunert; Noah Y. Siegel; Tim Hertweck; Thomas Lampe; Nicolas Heess; Martin A. Riedmiller (Robotics: Science and Systems, 2020)

Keep Doing What Worked: Behavioral 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 (CoRR, 2020)

"What, not how": Solving an under-actuated insertion task from scratch. - Giulia Vezzani; Michael Neunert; Markus Wulfmeier; Rae Jeong; Thomas Lampe; Noah Y. Siegel; Roland Hafner; Abbas Abdolmaleki; Martin A. Riedmiller; Francesco Nori (CoRR, 2020)

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. - Alex X. Lee; Coline Manon Devin; Yuxiang Zhou; Thomas Lampe; Konstantinos Bousmalis; Jost Tobias Springenberg; Arunkumar Byravan; Abbas Abdolmaleki; Nimrod Gileadi; David Khosid; Claudio Fantacci; José Enrique Chen; et al. (CoRL, 2021)

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 (ICML, 2021)

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 (ICRA, 2021)

How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation. - Alex X. Lee; Coline Devin; Jost Tobias Springenberg; Yuxiang Zhou; Thomas Lampe; Abbas Abdolmaleki; Konstantinos Bousmalis (IROS, 2022)

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Devin; Alex X. Lee; Maria Bauzá 001; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (CoRR, 2023)

SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration. - Giulia Vezzani; Dhruva Tirumala; Markus Wulfmeier; Dushyant Rao; Abbas Abdolmaleki; Ben Moran; Tuomas Haarnoja; Jan Humplik; Roland Hafner; Michael Neunert; Claudio Fantacci; Tim Hertweck; et al. (Trans. Mach. Learn. Res., 2023)

Replay across Experiments: A Natural Extension of Off-Policy RL. - Dhruva Tirumala; Thomas Lampe; José Enrique Chen; Tuomas Haarnoja; Sandy H. Huang; Guy Lever; Ben Moran; Tim Hertweck; Leonard Hasenclever; Martin A. Riedmiller; Nicolas Heess; Markus Wulfmeier (ICLR, 2024)

Offline Actor-Critic Reinforcement Learning Scales to Large Models. - Jost Tobias Springenberg; Abbas Abdolmaleki; Jingwei Zhang 001; Oliver Groth; Michael Bloesch; Thomas Lampe; Philemon Brakel; Sarah Bechtle; Steven Kapturowski; Roland Hafner; Nicolas Heess; Martin A. Riedmiller (ICML, 2024)

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 001; et al. (ICRA, 2024)

Real-world fluid directed rigid body control via deep reinforcement learning. - Mohak Bhardwaj; Thomas Lampe; Michael Neunert; Francesco Romano; Abbas Abdolmaleki; Arunkumar Byravan; Markus Wulfmeier; Martin A. Riedmiller; Jonas Buchli (L4DC, 2024)

Game On: Towards Language Models as RL Experimenters. - Jingwei Zhang 001; Thomas Lampe; Abbas Abdolmaleki; Jost Tobias Springenberg; Martin A. Riedmiller (CoRR, 2024)

Preference Optimization as Probabilistic Inference. - Abbas Abdolmaleki; Bilal Piot; Bobak Shahriari; Jost Tobias Springenberg; Tim Hertweck; Rishabh Joshi; Junhyuk Oh; Michael Bloesch; Thomas Lampe; Nicolas Heess; Jonas Buchli; Martin A. Riedmiller (CoRR, 2024)

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Manon Devin; Alex X. Lee; Maria Bauzá Villalonga; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (Trans. Mach. Learn. Res., 2024)

Learning from negative feedback, or positive feedback or both. - Abbas Abdolmaleki; Bilal Piot; Bobak Shahriari; Jost Tobias Springenberg; Tim Hertweck; Michael Bloesch; Rishabh Joshi; Thomas Lampe; Junhyuk Oh; Nicolas Heess; Jonas Buchli; Martin A. Riedmiller (ICLR, 2025)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)

ExoStart: Efficient learning for dexterous manipulation with sensorized exoskeleton demonstrations. - Zilin Si; José Enrique Chen; M. Emre Karagozler; Antonia Bronars; Jonathan Hutchinson; Thomas Lampe; Nimrod Gileadi; Taylor Howell; Stefano Saliceti; Lukasz Barczyk; Ilan Olivarez Correa; Tom Erez; et al. (CoRR, 2025)