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cs.LG2024
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…
cs.LG2024
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…