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EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine.

J. Weng, M. Lin, S. Huang, B. Liu, D. Makoviichuk, V. Makoviychuk, Z. Liu, Y. Song, T. Luo, Y. Jiang, Z. Xu, and S. Yan. NeurIPS, (2022)

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Viktor Belezky

Viktor Skutschik

Viktor Bokisch

Manfred Viktor

Viktor Zepezauer

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In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation.J. Liang, A. Handa, K. Wyk, V. Makoviychuk, O. Kroemer, and D. Fox. ICRA, page 6203-6209. IEEE, (2020)Accelerated Policy Learning with Parallel Differentiable Simulation.J. Xu, V. Makoviychuk, Y. Narang, F. Ramos, W. Matusik, A. Garg, and M. Macklin. ICLR, OpenReview.net, (2022)Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger.A. Allshire, M. Mittal, V. Lodaya, V. Makoviychuk, D. Makoviichuk, F. Widmaier, M. Wüthrich, S. Bauer, A. Handa, and A. Garg. IROS, page 11802-11809. IEEE, (2022)EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine.J. Weng, M. Lin, S. Huang, B. Liu, D. Makoviichuk, V. Makoviychuk, Z. Liu, Y. Song, T. Luo, Y. Jiang and 2 other author(s). NeurIPS, (2022)Isaac Gym: High Performance GPU Based Physics Simulation For Robot Learning.V. Makoviychuk, L. Wawrzyniak, Y. Guo, M. Lu, K. Storey, M. Macklin, D. Hoeller, N. Rudin, A. Allshire, A. Handa and 1 other author(s). NeurIPS Datasets and Benchmarks, (2021)DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality.A. Handa, A. Allshire, V. Makoviychuk, A. Petrenko, R. Singh, J. Liu, D. Makoviichuk, K. Wyk, A. Zhurkevich, B. Sundaralingam and 1 other author(s). ICRA, page 5977-5984. IEEE, (2023)Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning.A. Mahajan, M. Samvelyan, L. Mao, V. Makoviychuk, A. Garg, J. Kossaifi, S. Whiteson, Y. Zhu, and A. Anandkumar. ICML, volume 139 of Proceedings of Machine Learning Research, page 7301-7312. PMLR, (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, and D. Fox. ICRA, page 8973-8979. IEEE, (2019)Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?C. de Witt, T. Gupta, D. Makoviichuk, V. Makoviychuk, P. Torr, M. Sun, and S. Whiteson. CoRR, (2020)OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation.J. Wong, V. Makoviychuk, A. Anandkumar, and Y. Zhu. ICRA, page 10519-10526. IEEE, (2022)

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Disambiguation of "Makoviychuk, Viktor"

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EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine.

Please choose a person to relate this publication to

Viktor Belezky

Viktor Skutschik

Viktor Bokisch

Manfred Viktor

Viktor Zepezauer

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Makoviychuk, Viktor"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine.

Please choose a person to relate this publication to

Viktor Belezky

Viktor Skutschik

Viktor Bokisch

Manfred Viktor

Viktor Zepezauer

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine.