Abstract: Precise recognition of spatio-temporal patterns in air traffic trajectory data plays an important role in ensuring the safety and efficiency of air traffic management. Clustering is a widely ...

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MapAnything is an open-source research framework for universal metric 3D reconstruction. At its core is a simple, end-to-end trained transformer model that directly regresses the factored metric 3D ...

Abstract: We propose an end-to-end deep learning framework for statistical arbitrage in the crypto-currency futures market, which integrates clustering and trading within a unified structure.

Perception-based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to ...