Abstract: Learning policies in an asynchronous parallel way is essential to numerous successes of reinforcement learning for solving complex problems. However, their convergence has not been ...

Abstract: Weight learning forms a basis for the machine learning and numerous algorithms have been adopted up to date. Most of the algorithms were either developed in the stochastic framework or aimed ...

The week of the WNBA All-Star Game, Jess Smith, president of the Golden State Valkyries, shares how the team has quickly built a brand identity in its first year in the league—breaking season ticket ...

ABSTRACT: In the evolving landscape of artificial intelligence and machine learning, the choice of optimization algorithm can significantly impact the success of model training and the accuracy of ...

Linear programming (LP) solvers are crucial tools in various fields like logistics, finance, and engineering, due to their ability to optimize complex problems involving constraints and objectives.

Multitask learning (MLT) involves training a single model to perform multiple tasks simultaneously, leveraging shared information to enhance performance. While beneficial, MLT poses challenges in ...

you learn through interactions with other humans, and sometimes that's done directly and sometimes indirectly. we teach learning as an individual sport but it's a team sport. Eric Brewe, PhD Brewe ...

TV advertisers are turning their focus to 2024 planning with cautious optimism. Despite headwinds, there’s plenty of reason for confidence among advertisers going into the new year, with most ...