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ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport
We present a new extension for Neural Optimal Transport (NOT) training procedure, capable of accurately and efficiently estimating optimal transportation plan via specific regularisation on conjugate potentials.
Align Your Intents: Offline Imitation Learning via Optimal Transport
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.
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