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ORCIDViktor Makoviychuk
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2020 – today
- 2024
[c13]Karl Van Wyk, Ankur Handa, Viktor Makoviychuk, Yijie Guo, Arthur Allshire, Nathan D. Ratliff:
Geometric Fabrics: a Safe Guiding Medium for Policy Learning. ICRA 2024: 6537-6543- [i17]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:
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. CoRR abs/2402.03046 (2024) - [i16]Karl Van Wyk, Ankur Handa, Viktor Makoviychuk, Yijie Guo, Arthur Allshire, Nathan D. Ratliff:
Geometric Fabrics: a Safe Guiding Medium for Policy Learning. CoRR abs/2405.02250 (2024) - [i15]Tyler Ga Wei Lum, Martin Matak, Viktor Makoviychuk, Ankur Handa, Arthur Allshire, Tucker Hermans, Nathan D. Ratliff, Karl Van Wyk:
DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics. CoRR abs/2407.02274 (2024) - 2023
- [j2]Haotian Zhang
, Ye Yuan, Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Xue Bin Peng, Kayvon Fatahalian:
Learning Physically Simulated Tennis Skills from Broadcast Videos. ACM Trans. Graph. 42(4): 95:1-95:14 (2023) - [c12]Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj S. Narang:
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality. ICRA 2023: 5977-5984 - [c11]Aleksei Petrenko, Arthur Allshire, Gavriel State, Ankur Handa, Viktor Makoviychuk:
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training. Robotics: Science and Systems 2023 - [i14]Aleksei Petrenko, Arthur Allshire, Gavriel State, Ankur Handa, Viktor Makoviychuk:
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training. CoRR abs/2305.12127 (2023) - 2022
- [c10]Jie Xu, Viktor Makoviychuk, Yashraj S. Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin:
Accelerated Policy Learning with Parallel Differentiable Simulation. ICLR 2022 - [c9]Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu:
OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation. ICRA 2022: 10519-10526 - [c8]Arthur Allshire, Mayank Mittal, Varun Lodaya, Viktor Makoviychuk, Denys Makoviichuk, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Ankur Handa, Animesh Garg:
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger. IROS 2022: 11802-11809 - [c7]Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan:
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine. NeurIPS 2022 - [i13]Jie Xu, Viktor Makoviychuk, Yashraj S. Narang, Fabio T. Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin:
Accelerated Policy Learning with Parallel Differentiable Simulation. CoRR abs/2204.07137 (2022) - [i12]Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan:
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine. CoRR abs/2206.10558 (2022) - [i11]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:
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality. CoRR abs/2210.13702 (2022) - 2021
- [c6]Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar:
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. ICML 2021: 7301-7312 - [c5]Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, Gavriel State:
Isaac Gym: High Performance GPU Based Physics Simulation For Robot Learning. NeurIPS Datasets and Benchmarks 2021 - [i10]Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar:
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. CoRR abs/2106.00136 (2021) - [i9]Arthur Allshire, Mayank Mittal, Varun Lodaya, Viktor Makoviychuk, Denys Makoviichuk, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Ankur Handa, Animesh Garg:
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger. CoRR abs/2108.09779 (2021) - [i8]Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, Gavriel State:
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning. CoRR abs/2108.10470 (2021) - [i7]Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu:
OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation. CoRR abs/2110.00704 (2021) - [i6]Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar:
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions. CoRR abs/2110.14538 (2021) - 2020
- [c4]Jacky Liang, Ankur Handa, Karl Van Wyk, Viktor Makoviychuk, Oliver Kroemer, Dieter Fox:
In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation. ICRA 2020: 6203-6209 - [i5]Jacky Liang, Ankur Handa, Karl Van Wyk, Viktor Makoviychuk, Oliver Kroemer, Dieter Fox:
In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation. CoRR abs/2002.12160 (2020) - [i4]Christian Schröder de Witt, Tarun Gupta, Denys Makoviichuk, Viktor Makoviychuk, Philip H. S. Torr, Mingfei Sun, Shimon Whiteson:
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? CoRR abs/2011.09533 (2020)
2010 – 2019
- 2019
- [j1]Miles Macklin, Kenny Erleben, Matthias Müller, Nuttapong Chentanez, Stefan Jeschke, Viktor Makoviychuk:
Non-smooth Newton Methods for Deformable Multi-body Dynamics. ACM Trans. Graph. 38(5): 140:1-140:20 (2019) - [c3]Yevgen Chebotar, Ankur Handa, Viktor Makoviychuk, Miles Macklin, Jan Issac, Nathan D. Ratliff, Dieter Fox:
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience. ICRA 2019: 8973-8979 - [i3]Miles Macklin, Kenny Erleben, Matthias Müller, Nuttapong Chentanez, Stefan Jeschke, Viktor Makoviychuk:
Non-Smooth Newton Methods for Deformable Multi-Body Dynamics. CoRR abs/1907.04587 (2019) - 2018
- [c2]Jacky Liang, Viktor Makoviychuk, Ankur Handa, Nuttapong Chentanez, Miles Macklin, Dieter Fox:
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning. CoRL 2018: 270-282 - [c1]Nuttapong Chentanez, Matthias Müller, Miles Macklin, Viktor Makoviychuk, Stefan Jeschke:
Physics-based motion capture imitation with deep reinforcement learning. MIG 2018: 1:1-1:10 - [i2]Yevgen Chebotar, Ankur Handa, Viktor Makoviychuk, Miles Macklin, Jan Issac, Nathan D. Ratliff, Dieter Fox:
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience. CoRR abs/1810.05687 (2018) - [i1]Jacky Liang, Viktor Makoviychuk, Ankur Handa, Nuttapong Chentanez, Miles Macklin, Dieter Fox:
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning. CoRR abs/1810.05762 (2018)
Coauthor Index
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