GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning. - Jacky Liang; Viktor Makoviychuk; Ankur Handa; Nuttapong Chentanez; Miles Macklin; Dieter Fox (CoRL, 2018)

Physics-based motion capture imitation with deep reinforcement learning. - Nuttapong Chentanez; Matthias Müller 001; Miles Macklin; Viktor Makoviychuk; Stefan Jeschke (MIG, 2018)

Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience. - Yevgen Chebotar; Ankur Handa; Viktor Makoviychuk; Miles Macklin; Jan Issac; Nathan D. Ratliff; Dieter Fox (ICRA, 2019)

Non-smooth Newton Methods for Deformable Multi-body Dynamics. - Miles Macklin; Kenny Erleben; Matthias Müller 001; Nuttapong Chentanez; Stefan Jeschke; Viktor Makoviychuk (ACM Trans. Graph., 2019)

In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation. - Jacky Liang; Ankur Handa; Karl Van Wyk; Viktor Makoviychuk; Oliver Kroemer; Dieter Fox (ICRA, 2020)

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? - Christian Schröder de Witt; Tarun Gupta 002; Denys Makoviichuk; Viktor Makoviychuk; Philip H. S. Torr; Mingfei Sun 001; Shimon Whiteson (CoRR, 2020)

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. - Anuj Mahajan; Mikayel Samvelyan; Lei Mao; Viktor Makoviychuk; Animesh Garg; Jean Kossaifi; Shimon Whiteson; Yuke Zhu; Animashree Anandkumar (ICML, 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)

Reinforcement Learning in Factored Action Spaces using Tensor Decompositions. - Anuj Mahajan; Mikayel Samvelyan; Lei Mao; Viktor Makoviychuk; Animesh Garg; Jean Kossaifi; Shimon Whiteson; Yuke Zhu; Animashree Anandkumar (CoRR, 2021)

Accelerated Policy Learning with Parallel Differentiable Simulation. - Jie Xu 028; Viktor Makoviychuk; Yashraj S. Narang; Fabio Ramos 001; Wojciech Matusik; Animesh Garg; Miles Macklin (ICLR, 2022)

OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation. - Josiah Wong; Viktor Makoviychuk; Anima Anandkumar; Yuke Zhu (ICRA, 2022)

Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger. - Arthur Allshire; Mayank Mittal; Varun Lodaya; Viktor Makoviychuk; Denys Makoviichuk; Felix Widmaier; Manuel Wüthrich; Stefan Bauer; Ankur Handa; Animesh Garg (IROS, 2022)

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine. - Jiayi Weng; Min Lin; Shengyi Huang; Bo Liu 039; Denys Makoviichuk; Viktor Makoviychuk; Zichen Liu; Yufan Song; Ting Luo; Yukun Jiang; Zhongwen Xu; Shuicheng Yan (NeurIPS, 2022)

DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality. - Ankur Handa; Arthur Allshire; Viktor Makoviychuk; Aleksei Petrenko; Ritvik Singh; Jingzhou Liu; Denys Makoviichuk; Karl Van Wyk; Alexander Zhurkevich; Balakumar Sundaralingam; Yashraj S. Narang; Jean-Francois Lafleche; et al. (CoRR, 2022)

DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality. - Ankur Handa; Arthur Allshire; Viktor Makoviychuk; Aleksei Petrenko; Ritvik Singh; Jingzhou Liu; Denys Makoviichuk; Karl Van Wyk; Alexander Zhurkevich; Balakumar Sundaralingam; Yashraj S. Narang (ICRA, 2023)

DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training. - Aleksei Petrenko; Arthur Allshire; Gavriel State; Ankur Handa; Viktor Makoviychuk (Robotics: Science and Systems, 2023)

Learning Physically Simulated Tennis Skills from Broadcast Videos. - Haotian Zhang 004; Ye Yuan 007; Viktor Makoviychuk; Yunrong Guo; Sanja Fidler; Xue Bin Peng; Kayvon Fatahalian (ACM Trans. Graph., 2023)

DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics. - Tyler Ga Wei Lum; Martin Matak; Viktor Makoviychuk; Ankur Handa; Arthur Allshire; Tucker Hermans; Nathan D. Ratliff; Karl Van Wyk (CoRL, 2024)

Geometric Fabrics: a Safe Guiding Medium for Policy Learning. - Karl Van Wyk; Ankur Handa; Viktor Makoviychuk; Yijie Guo; Arthur Allshire; Nathan D. Ratliff (ICRA, 2024)

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. - Shengyi Huang; Quentin Gallouédec; Florian Felten; Antonin Raffin; Rousslan Fernand Julien Dossa; Yanxiao Zhao; Ryan Sullivan; Viktor Makoviychuk; Denys Makoviichuk; Mohamad H. Danesh; Cyril Roumégous; Jiayi Weng; et al. (CoRR, 2024)