Saurabh Suman

RL-SDNTE: Reinforcement Learning-Driven Traffic Engineering in SDN for QoE Optimization in Video Streaming

RL-SDNTE is presented, a Reinforcement Learning-based TE framework built directly into an SDN controller that targets end-user Quality of Experience (QoE) as its primary objective and scales to topologies beyond 100 nodes without exceeding operationally acceptable convergence times.