This repo contains the pre-release implementation of Low-rank Riemannian Optimizater (LORO), proposed in LORO: Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization, ICLR ...
Abstract: Multi-agent pathfinding plays a crucial role in various robot applications. Recently, deep reinforcement learning methods have been adopted to solve large-scale planning problems in a ...
Abstract: Communication technology in recent days has undergone rapid growth and the need to improve the performance of antennas has also got its equal importance. The inclusion of the optimization ...
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