Nature

Optimization of broadband metamaterial absorber using twin delayed deep deterministic policy gradient reinforcement learning technique

This paper presents a new reinforcement learning (RL)-driven inverse design strategy that leverages the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm for the efficient optimization ...
Nature

Relative importance sampling for off-policy actor-critic in deep reinforcement learning

Figure 1a illustrates that off-policy learning primarily involves two policies: the behavioral policy (b), also known as the sampling distribution, and the target policy (\(\pi\)), also known as the ...