The main contributions of this work are:
XNW’s reliance on adult‑targeted ad networks yields modest per‑impression revenue, necessitating high traffic volumes. The platform’s SEO dominance in long‑tail queries compensates for lower CPMs relative to premium subscription sites. xnxwapcom
The RL problem is defined as a Markov Decision Process (MDP) ⟨S, A, R, γ⟩: The main contributions of this work are:
[ r_t = \lambda_1 \cdot \frac\textThroughputt\textThroughput\max - \lambda_2 \cdot \frac\textLatencyt\textLatency\max - \lambda_3 \cdot \fracE_tE_\max ] λ₂ = 0.3
with λ₁ = 0.5, λ₂ = 0.3, λ₃ = 0.2.
A Double‑DQN with experience replay (size = 10⁵) and target network update every 1 000 steps is employed. Training converges after ~2 × 10⁶ steps (≈ 30 min of simulated time).