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ORCIDMikita Sazanovich
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2020 – today
- 2023
[i4]Pengming Wang, Mikita Sazanovich, Berkin Ilbeyi, Phitchaya Mangpo Phothilimthana, Manish Purohit, Han Yang Tay, Ngân Vu, Miaosen Wang, Cosmin Paduraru, Edouard Leurent, Anton Zhernov, Julian Schrittwieser, Thomas Hubert, Robert Tung, Paula Kurylowicz, Kieran Milan, Oriol Vinyals, Daniel J. Mankowitz:
Optimizing Memory Mapping Using Deep Reinforcement Learning. CoRR abs/2305.07440 (2023)- 2020
- [c2]Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun:
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. CVPR 2020: 11164-11173 - [c1]Mikita Sazanovich, Anastasiya Nikolskaya, Yury Belousov, Aleksei Shpilman:
Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization. NeurIPS (Competition and Demos) 2020: 77-85 - [i3]Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun:
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. CoRR abs/2006.09348 (2020) - [i2]Mikita Sazanovich, Konstantin Chaika, Kirill Krinkin, Aleksei Shpilman:
Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously. CoRR abs/2007.03514 (2020) - [i1]Mikita Sazanovich, Anastasiya Nikolskaya, Yury Belousov
, Aleksei Shpilman:
Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization. CoRR abs/2012.10335 (2020)
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