Reinforcement Learning

Entropy-Regularized Reinforcement Learning

${\pi }^{\ast }=\arg {\max }_{\pi }{\mathbb{E}}_{\tau \sim \pi }{\sum }_{t=0}^{\infty }{\gamma }^t(R(s_t,a_t,s_{t+1})+\alpha H\left(\pi (\cdot |s_t)\right)),$

Related

• n-step Reinforcement Learning