Viktor Makoviychuk

According to our database, Viktor Makoviychuk authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

CoRR, 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, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi

CoRR, 2024

Geometric Fabrics: a Safe Guiding Medium for Policy Learning.

Karl Van Wyk, Ankur Handa, Viktor Makoviychuk, Yijie Guo, Arthur Allshire, Nathan D. Ratliff

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Learning Physically Simulated Tennis Skills from Broadcast Videos.

Haotian Zhang, Ye Yuan, Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Xue Bin Peng, Kayvon Fatahalian

ACM Trans. Graph., August, 2023

DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training.

Aleksei Petrenko, Arthur Allshire, Gavriel State, Ankur Handa, Viktor Makoviychuk

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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, Dieter Fox, Gavriel State

CoRR, 2022

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine.

Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation.

Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Accelerated Policy Learning with Parallel Differentiable Simulation.

Jie Xu, Viktor Makoviychuk, Yashraj S. Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

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

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Christian Schröder de Witt, Tarun Gupta, Denys Makoviichuk, Viktor Makoviychuk, Philip H. S. Torr, Mingfei Sun, Shimon Whiteson

CoRR, 2020

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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Non-smooth Newton Methods for Deformable Multi-body Dynamics.

Miles Macklin, Kenny Erleben, Matthias Müller, Nuttapong Chentanez, Stefan Jeschke, Viktor Makoviychuk

ACM Trans. Graph., 2019

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

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Physics-based motion capture imitation with deep reinforcement learning.

Nuttapong Chentanez, Matthias Müller, Miles Macklin, Viktor Makoviychuk, Stefan Jeschke

Proceedings of the 11th Annual International Conference on Motion, Interaction, and Games, 2018

GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning.

Jacky Liang, Viktor Makoviychuk, Ankur Handa, Nuttapong Chentanez, Miles Macklin, Dieter Fox

Proceedings of the 2nd Annual Conference on Robot Learning, 2018