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)

Disentangled Cumulants Help Successor Representations Transfer to New Tasks. - Christopher Grimm; Irina Higgins; André Barreto 001; Denis Teplyashin; Markus Wulfmeier; Tim Hertweck; Raia Hadsell; Satinder Singh 001 (CoRR, 2019)

Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion. - Roland Hafner; Tim Hertweck; Philipp Klöppner; Michael Bloesch; Michael Neunert; Markus Wulfmeier; Saran Tunyasuvunakool; Nicolas Heess; Martin A. Riedmiller (CoRL, 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)

Simple Sensor Intentions for Exploration. - Tim Hertweck; Martin A. Riedmiller; Michael Bloesch; Jost Tobias Springenberg; Noah Y. Siegel; Markus Wulfmeier; Roland Hafner; Nicolas Heess (CoRR, 2020)

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)

Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration. - Oliver Groth; Markus Wulfmeier; Giulia Vezzani; Vibhavari Dasagi; Tim Hertweck; Roland Hafner; Nicolas Heess; Martin A. Riedmiller (CoRR, 2021)

The Challenges of Exploration for Offline Reinforcement Learning. - Nathan Lambert 001; Markus Wulfmeier; William F. Whitney; Arunkumar Byravan; Michael Bloesch; Vibhavari Dasagi; Tim Hertweck; Martin A. Riedmiller (CoRR, 2022)

Less is more - the Dispatcher/ Executor principle for multi-task Reinforcement Learning. - Martin A. Riedmiller; Tim Hertweck; Roland Hafner (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)

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)

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)

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)