Multi-step temporal-difference (TD) learning, where the update targets contain information from multiple time steps ahead, is one of the most popular forms of TD learning for linear function ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

Cole Palmer was just about healed from a groin injury when the news turned sour for the Chelsea star this week. He got hurt while away from the team facility, and that impacts his availability for two ...

Abstract: Traffic signal control plays a crucial role in intelligent transportation systems, with cooperative control being challenging to implement but essential for its effectiveness. Many methods ...

Abstract: The integration of Deep Reinforcement Learning (DRL) with Evolutionary Algorithms (EAs) represents a significant advancement in optimizing smart city energy operations, addressing the ...

The Vegas Golden Knights need two points vs. the New York Islanders to end a rough homestand ...