The first wave of Steam Machines have arrived in the hands of eager early adopters. But while some are celebrating their new toy, others are left to stare at the waiting list. A flurry of celebratory ...

Existing Reinforcement Learning (RL) approaches for deep search agents primarily rely on binary outcome rewards (i.e., whether the final answer is correct). However, pure outcome rewards fail to ...

Abstract: Large-scale integrated circuit simulation faces challenges in simulation speed and memory consumption. Based on the divide-and-conquer idea, partitioning techniques can well mitigate these ...

Abstract: This research aims to explore the use of modern complex defensive machine learning algorithms in the provision of predictive analytics for health improvement. Incorporating electronic health ...