Viktor Makoviychuk
Viktor Makoviychuk
Sonstige NamenViktor Makoviichuk
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Zitiert von
Zitiert von
Isaac gym: High performance gpu-based physics simulation for robot learning
V Makoviychuk, L Wawrzyniak, Y Guo, M Lu, K Storey, M Macklin, ...
arXiv preprint arXiv:2108.10470, 2021
Closing the sim-to-real loop: Adapting simulation randomization with real world experience
Y Chebotar, A Handa, V Makoviychuk, M Macklin, J Issac, N Ratliff, D Fox
2019 International Conference on Robotics and Automation (ICRA), 8973-8979, 2019
Is independent learning all you need in the starcraft multi-agent challenge?
CS De Witt, T Gupta, D Makoviichuk, V Makoviychuk, PHS Torr, M Sun, ...
arXiv preprint arXiv:2011.09533, 2020
Gpu-accelerated robotic simulation for distributed reinforcement learning
J Liang, V Makoviychuk, A Handa, N Chentanez, M Macklin, D Fox
Conference on Robot Learning, 270-282, 2018
Physics-based motion capture imitation with deep reinforcement learning
N Chentanez, M Müller, M Macklin, V Makoviychuk, S Jeschke
Proceedings of the 11th ACM SIGGRAPH Conference on Motion, Interaction and …, 2018
Non-smooth newton methods for deformable multi-body dynamics
M Macklin, K Erleben, M Müller, N Chentanez, S Jeschke, V Makoviychuk
ACM Transactions on Graphics (TOG) 38 (5), 1-20, 2019
Dextreme: Transfer of agile in-hand manipulation from simulation to reality
A Handa, A Allshire, V Makoviychuk, A Petrenko, R Singh, J Liu, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 5977-5984, 2023
Accelerated policy learning with parallel differentiable simulation
J Xu, V Makoviychuk, Y Narang, F Ramos, W Matusik, A Garg, M Macklin
arXiv preprint arXiv:2204.07137, 2022
Transferring dexterous manipulation from gpu simulation to a remote real-world trifinger
A Allshire, M MittaI, V Lodaya, V Makoviychuk, D Makoviichuk, F Widmaier, ...
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
Envpool: A highly parallel reinforcement learning environment execution engine
J Weng, M Lin, S Huang, B Liu, D Makoviichuk, V Makoviychuk, Z Liu, ...
Advances in Neural Information Processing Systems 35, 22409-22421, 2022
rl-games: A high-performance framework for reinforcement learning
D Makoviichuk, V Makoviychuk
Denys88/rl_games, 2022
Tesseract: Tensorised actors for multi-agent reinforcement learning
A Mahajan, M Samvelyan, L Mao, V Makoviychuk, A Garg, J Kossaifi, ...
International Conference on Machine Learning, 7301-7312, 2021
In-hand object pose tracking via contact feedback and gpu-accelerated robotic simulation
J Liang, A Handa, K Van Wyk, V Makoviychuk, O Kroemer, D Fox
2020 IEEE International Conference on Robotics and Automation (ICRA), 6203-6209, 2020
Learning physically simulated tennis skills from broadcast videos
Y Yuan, V Makoviychuk, Y Guo, S Fidler, XB Peng, K Fatahalian
ACM Trans. Graph 42 (4), 2023
Dexpbt: Scaling up dexterous manipulation for hand-arm systems with population based training
A Petrenko, A Allshire, G State, A Handa, V Makoviychuk
arXiv preprint arXiv:2305.12127, 2023
Reinforcement learning in factored action spaces using tensor decompositions
A Mahajan, M Samvelyan, L Mao, V Makoviychuk, A Garg, J Kossaifi, ...
arXiv preprint arXiv:2110.14538, 2021
Oscar: Data-driven operational space control for adaptive and robust robot manipulation
J Wong, V Makoviychuk, A Anandkumar, Y Zhu
2022 International Conference on Robotics and Automation (ICRA), 10519-10526, 2022
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
S Huang, Q Gallouédec, F Felten, A Raffin, RFJ Dossa, Y Zhao, ...
arXiv preprint arXiv:2402.03046, 2024
Geometric Fabrics: a Safe Guiding Medium for Policy Learning
K Van Wyk, A Handa, V Makoviychuk, Y Guo, A Allshire, ND Ratliff
arXiv preprint arXiv:2405.02250, 2024
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