Reinforcement learning schedulers balance request success against losses
The paper proposes mixed-integer linear programming formulations and reinforcement learning schedulers based on DQN, PPO, and SAC to maximize request success in heterogeneous quantum networks.
#quantum computing#entanglement#reinforcement learning#dqn#ppo#sac



