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Aleksei Petrenko
Aleksei Petrenko
Research Scientist at Apple, Computer Science PhD from the University of Southern California
Dirección de correo verificada de apple.com - Página principal
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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
131*2023
Sample factory: Egocentric 3d control from pixels at 100000 fps with asynchronous reinforcement learning
A Petrenko, Z Huang, T Kumar, G Sukhatme, V Koltun
International Conference on Machine Learning, 7652-7662, 2020
1022020
Decentralized control of quadrotor swarms with end-to-end deep reinforcement learning
S Batra, Z Huang, A Petrenko, T Kumar, A Molchanov, GS Sukhatme
Conference on Robot Learning, 576-586, 2022
522022
Large batch simulation for deep reinforcement learning
B Shacklett, E Wijmans, A Petrenko, M Savva, D Batra, V Koltun, ...
International Conference on Learning Representations, 2021, 2021
272021
Megaverse: Simulating embodied agents at one million experiences per second
A Petrenko, E Wijmans, B Shacklett, V Koltun
International Conference on Machine Learning, 8556-8566, 2021
232021
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
142023
Proximal policy gradient arborescence for quality diversity reinforcement learning
S Batra, B Tjanaka, MC Fontaine, A Petrenko, S Nikolaidis, G Sukhatme
arXiv preprint arXiv:2305.13795, 2023
102023
Agents that listen: High-throughput reinforcement learning with multiple sensory systems
S Hegde, A Kanervisto, A Petrenko
2021 IEEE Conference on Games (CoG), 1-5, 2021
102021
Quadswarm: A modular multi-quadrotor simulator for deep reinforcement learning with direct thrust control
Z Huang, S Batra, T Chen, R Krupani, T Kumar, A Molchanov, A Petrenko, ...
arXiv preprint arXiv:2306.09537, 2023
72023
Ai-based control for robotics systems and applications
A Handa, AD Allshire, V Makoviichuk, AV Petrenko
US Patent App. 18/330,905, 2024
2024
Training machine learning models using simulation for robotics systems and applications
A Handa, AD Allshire, D Fox, JFV Lafleche, LIU Jingzhou, V Makoviichuk, ...
US Patent App. 18/448,049, 2024
2024
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