no code implementations • 22 Feb 2024 • Dmitrii Krylov, Armin Karamzade, Roy Fox
Our method, Moonwalk, has a time complexity linear in the depth of the network, unlike the quadratic time complexity of na\"ive forward, and empirically reduces computation time by several orders of magnitude without allocating more memory.
no code implementations • 20 Feb 2024 • Maksim Bobrin, Nazar Buzun, Dmitrii Krylov, Dmitry V. Dylov
We report that AILOT outperforms state-of-the art offline imitation learning algorithms on D4RL benchmarks and improves the performance of other offline RL algorithms in the sparse-reward tasks.
1 code implementation • 25 Jul 2023 • Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox
In this work, we propose a method for generating from simulation data a dataset on which a system can be trained via supervised learning to design circuits to meet threshold specifications.
1 code implementation • 22 Feb 2020 • Dmitrii Krylov, Remi Tachet, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
Malfunctioning neurons in the brain sometimes operate synchronously, reportedly causing many neurological diseases, e. g. Parkinson's.