Deep Value Model Predictive Control. - David Hoeller; Farbod Farshidian; Marco Hutter 001 (CoRL, 2019)

Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. - Xingye Da; Zhaoming Xie; David Hoeller; Byron Boots; Anima Anandkumar; Yuke Zhu; Buck Babich; Animesh Garg (CoRL, 2020)

Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot. - Napat Karnchanachari; Miguel de la Iglesia Valls; David Hoeller; Marco Hutter 001 (L4DC, 2020)

Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning. - Nikita Rudin; David Hoeller; Philipp Reist; Marco Hutter 001 (CoRL, 2021)

Joint Space Control via Deep Reinforcement Learning. - Visak Kumar; David Hoeller; Balakumar Sundaralingam; Jonathan Tremblay; Stan Birchfield (IROS, 2021)

Isaac Gym: High Performance GPU Based Physics Simulation For Robot Learning. - Viktor Makoviychuk; Lukasz Wawrzyniak; Yunrong Guo; Michelle Lu; Kier Storey; Miles Macklin; David Hoeller; Nikita Rudin; Arthur Allshire; Ankur Handa; Gavriel State (NeurIPS Datasets and Benchmarks, 2021)

Learning a State Representation and Navigation in Cluttered and Dynamic Environments. - David Hoeller; Lorenz Wellhausen; Farbod Farshidian; Marco Hutter 001 (IEEE Robotics Autom. Lett., 2021)

Locomotion Policy Guided Traversability Learning using Volumetric Representations of Complex Environments. - Jonas Frey; David Hoeller; Shehryar Khattak; Marco Hutter 001 (IROS, 2022)

Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation. - Mayank Mittal; David Hoeller; Farbod Farshidian; Marco Hutter 001; Animesh Garg (IROS, 2022)

Advanced Skills by Learning Locomotion and Local Navigation End-to-End. - Nikita Rudin; David Hoeller; Marko Bjelonic; Marco Hutter 001 (IROS, 2022)

Neural Scene Representation for Locomotion on Structured Terrain. - David Hoeller; Nikita Rudin; Christopher B. Choy; Animashree Anandkumar; Marco Hutter 001 (IEEE Robotics Autom. Lett., 2022)

ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments. - Mayank Mittal; Calvin Yu; Qinxi Yu; Jingzhou Liu; Nikita Rudin; David Hoeller; Jia Lin Yuan; Pooria Poorsarvi Tehrani; Ritvik Singh; Yunrong Guo; Hammad Mazhar; Ajay Mandlekar; et al. (CoRR, 2023)

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments. - Mayank Mittal; Calvin Yu; Qinxi Yu; Jingzhou Liu; Nikita Rudin; David Hoeller; Jia Lin Yuan; Ritvik Singh; Yunrong Guo; Hammad Mazhar; Ajay Mandlekar; Buck Babich; et al. (IEEE Robotics Autom. Lett., 2023)

Learning Agile Locomotion on Risky Terrains. - Chong Zhang; Nikita Rudin; David Hoeller; Marco Hutter 001 (IROS, 2024)

ANYmal parkour: Learning agile navigation for quadrupedal robots. - David Hoeller; Nikita Rudin; Dhionis V. Sako; Marco Hutter 001 (Sci. Robotics, 2024)

Improving Long-Range Navigation with Spatially-Enhanced Recurrent Memory via End-to-End Reinforcement Learning. - Fan Yang 092; Per Frivik; David Hoeller; Chen Wang 033; Cesar Cadena 001; Marco Hutter 001 (CoRR, 2025)