Wasserstein-1
PulseAugur coverage of Wasserstein-1 — every cluster mentioning Wasserstein-1 across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New DRL Framework Optimizes Urban EV Fleet Control
Researchers have developed a new framework for controlling urban electric vehicle (EV) fleets that uses distributionally robust reinforcement learning (DRL) to handle uncertain demand and travel times. This approach, ca…
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New method predicts data distributions under drift and corruption
Researchers have developed a novel online learning method for predicting full data-generating distributions in non-stationary data streams, even when subjected to drift and adversarial corruption. The approach utilizes …
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Researchers develop semi-Markov RL for city-scale EV ride-hailing
Researchers have developed a novel semi-Markov reinforcement learning approach for optimizing city-scale electric vehicle (EV) ride-hailing fleets. This method addresses complex decisions like dispatch, repositioning, a…