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

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

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

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

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

ANYmal Parkour: Learning Agile Navigation for Quadrupedal Robots. - Hoeller, David; Rudin, Nikita; Sako, Dhionis V.; Hutter, Marco (CoRR, 2023)

Learning Agile Locomotion on Risky Terrains. - Zhang, Chong; Rudin, Nikita; Hoeller, David; Hutter, Marco (CoRR, 2023)

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

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

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

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

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

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

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

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

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

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

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

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

Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation. - Mittal, Mayank; Hoeller, David; Farshidian, Farbod; Hutter, Marco; Garg, Animesh (CoRR, 2021)

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

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

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

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

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

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

Joint Space Control via Deep Reinforcement Learning. - Kumar, Visak; Hoeller, David; Sundaralingam, Balakumar; Tremblay, Jonathan; Birchfield, Stan (CoRR, 2020)

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

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