Viktor Makoviychuk

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Reinforcement Learning

Partially Observable Domains

Top Venues

ACM Trans. Graph.

Publications

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 (2024)
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)
Karl Van Wyk, Ankur Handa, Viktor Makoviychuk, Yijie Guo, Arthur Allshire, Nathan D. Ratliff
Geometric Fabrics: a Safe Guiding Medium for Policy Learning. CoRR (2024)
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 (2024)
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)
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)
Aleksei Petrenko, Arthur Allshire, Gavriel State, Ankur Handa, Viktor Makoviychuk
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training. CoRR (2023)
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) (2023)
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 (2022)
Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality. CoRR (2022)
Jie Xu, Viktor Makoviychuk, Yashraj S. Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin
Accelerated Policy Learning with Parallel Differentiable Simulation. ICLR (2022)
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)
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)
Jie Xu, Viktor Makoviychuk, Yashraj S. Narang, Fabio T. Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin
Accelerated Policy Learning with Parallel Differentiable Simulation. CoRR (2022)
Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu
OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation. ICRA (2022)
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)
Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu
OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
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)
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 (2021)
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 (2020)
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 (2020)
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)
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)
Miles Macklin, Kenny Erleben, Matthias Müller, Nuttapong Chentanez, Stefan Jeschke, Viktor Makoviychuk
Non-Smooth Newton Methods for Deformable Multi-Body Dynamics. CoRR (2019)
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) (2019)
Jacky Liang, Viktor Makoviychuk, Ankur Handa, Nuttapong Chentanez, Miles Macklin, Dieter Fox
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning. CoRR (2018)
Nuttapong Chentanez, Matthias Müller, Miles Macklin, Viktor Makoviychuk, Stefan Jeschke
Physics-based motion capture imitation with deep reinforcement learning. MIG (2018)
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 (2018)
Jacky Liang, Viktor Makoviychuk, Ankur Handa, Nuttapong Chentanez, Miles Macklin, Dieter Fox
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning. CoRL (2018)