2 citations · 2 across the 9 of their papers we have counts for
3 papers · 1 filter
Suppressing Modulation Instability with Reinforcement Learning
Nikolay Kalmykov, Rishat Zagidullin, Oleg Rogov +2
Modulation instability is a phenomenon of spontaneous pattern formation in nonlinear media, oftentimes leading to an unpredictable behaviour and a degradation of a signal of intere…
ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport
Nazar Buzun, Maksim Bobrin, Dmitry V. Dylov
We present a new approach for Neural Optimal Transport (NOT) training procedure, capable of accurately and efficiently estimating optimal transportation plan via specific regulariz…
Align Your Intents: Offline Imitation Learning via Optimal Transport
Maksim Bobrin, Nazar Buzun, Dmitrii Krylov +1
Offline Reinforcement Learning (RL) addresses the problem of sequential decision-making by learning optimal policy through pre-collected data, without interacting with the environm…