Tag: Soft Actor–Critic

A simulation-only manufacturing controller reduced emissions by 24.0% versus a benchmark while achieving mean resilience of 0.875, but exceeded the ...

A new deep reinforcement learning framework improves personalized e-commerce marketing by balancing short-term conversions with long-term customer value.

Researchers have developed an interpretable deep reinforcement learning framework that schedules wind turbine maintenance to maximize power generation and minimize ...

Researchers in China have developed VDDM, a framework combining dynamic virtual machine partitioning, matching theory, and deep reinforcement learning to ...

Researchers in Algeria showed that reinforcement learning agents can retune a standard PID drone controller in real time within safety ...

Researchers have built an AI portfolio manager that converts financial headlines into structured event nodes that dynamically rewire a market ...

Researchers applied EASA's W-shaped safety certification process, built for supervised learning, to a reinforcement learning drone navigating an urban environment ...

Researchers have developed a hybrid AI method that combines artificial potential field guidance with an LSTM-enhanced Soft Actor–Critic algorithm to ...