Stochastic Dueling Network
2000년 도입 · 논문 12편에서 사용
A Stochastic Dueling Network, or SDN, is an architecture for learning a value function $V$. The SDN learns both $V$ and $Q$ off-policy while maintaining consistency between the two estimates. At each time step it outputs a stochastic estimate of $Q$ and a deterministic estimate of $V$.
출처: Sample Efficient Actor-Critic with Experience Replay
소개 논문: Sample Efficient Actor-Critic with Experience Replay
Value Function Estimation · Reinforcement Learning