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Dmitry Kalashnikov
Dmitry Kalashnikov
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Year
Scalable deep reinforcement learning for vision-based robotic manipulation
D Kalashnikov, A Irpan, P Pastor, J Ibarz, A Herzog, E Jang, D Quillen, ...
Conference on Robot Learning, 651-673, 2018
9702018
Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks
S James, P Wohlhart, M Kalakrishnan, D Kalashnikov, A Irpan, J Ibarz, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
3472019
Do as i can, not as i say: Grounding language in robotic affordances
M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, ...
arXiv preprint arXiv:2204.01691, 2022
762022
Mt-opt: Continuous multi-task robotic reinforcement learning at scale
D Kalashnikov, J Varley, Y Chebotar, B Swanson, R Jonschkowski, ...
arXiv preprint arXiv:2104.08212, 2021
532021
Actionable models: Unsupervised offline reinforcement learning of robotic skills
Y Chebotar, K Hausman, Y Lu, T Xiao, D Kalashnikov, J Varley, A Irpan, ...
arXiv preprint arXiv:2104.07749, 2021
462021
Rico Jonschkowski, Chelsea Finn, Sergey Levine, and Karol Hausman. Mt-opt: Continuous multi-task robotic reinforcement learning at scale
D Kalashnikov, J Varley, Y Chebotar, B Swanson
arXiv preprint arXiv:2104.08212 8, 2021
432021
Thinking while moving: Deep reinforcement learning with concurrent control
T Xiao, E Jang, D Kalashnikov, S Levine, J Ibarz, K Hausman, A Herzog
arXiv preprint arXiv:2004.06089, 2020
282020
Learning precise 3d manipulation from multiple uncalibrated cameras
I Akinola, J Varley, D Kalashnikov
2020 IEEE International Conference on Robotics and Automation (ICRA), 4616-4622, 2020
172020
AW-opt: Learning robotic skills with imitation andreinforcement at scale
Y Lu, K Hausman, Y Chebotar, M Yan, E Jang, A Herzog, T Xiao, A Irpan, ...
Conference on Robot Learning, 1078-1088, 2022
122022
Hybrid random features
K Choromanski, H Chen, H Lin, Y Ma, A Sehanobish, D Jain, MS Ryoo, ...
arXiv preprint arXiv:2110.04367, 2021
82021
Reward machines for vision-based robotic manipulation
A Camacho, J Varley, A Zeng, D Jain, A Iscen, D Kalashnikov
2021 IEEE International Conference on Robotics and Automation (ICRA), 14284 …, 2021
72021
Disentangled planning and control in vision based robotics via reward machines
A Camacho, J Varley, D Jain, A Iscen, D Kalashnikov
arXiv preprint arXiv:2012.14464, 2020
72020
Deep reinforcement learning for robotic manipulation
D Kalashnikov, A Irpan, PP Sampedro, J Ibarz, A Herzog, E Jang, ...
US Patent App. 17/052,679, 2021
52021
Visionary: Vision architecture discovery for robot learning
I Akinola, A Angelova, Y Lu, Y Chebotar, D Kalashnikov, J Varley, J Ibarz, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 10779 …, 2021
52021
Scaling Up Multi-Task Robotic Reinforcement Learning
D Kalashnikov, J Varley, Y Chebotar, B Swanson, R Jonschkowski, ...
5th Annual Conference on Robot Learning, 2021
42021
Aw-opt: Learning robotic skills with imitation and reinforcement at scale
Y Lu, K Hausman, Y Chebotar, M Yan, E Jang, A Herzog, T Xiao, A Irpan, ...
arXiv e-prints, arXiv: 2111.05424, 2021
32021
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks. arXiv e-prints, page
S James, P Wohlhart, M Kalakrishnan, D Kalashnikov, A Irpan, J Ibarz, ...
arXiv preprint arXiv:1812.07252, 2018
32018
Probing light exotics from a hidden sector at - factories with polarized electron beams
D Gorbunov, D Kalashnikov
arXiv preprint arXiv:2211.06270, 2022
12022
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation
AG Francis, C Parada, D Kalashnikov, E Lee, F Xia, J Varley, J Tan, ...
12022
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation
X Xiao, T Zhang, K Choromanski, E Lee, A Francis, J Varley, S Tu, ...
arXiv preprint arXiv:2209.10780, 2022
2022
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