A reinforcement learning reward adding squared queue lengths to the Lyapunov drift-plus-penalty objective outperforms baselines in simulation, but the derivation provided for it is mathematically invalid.
Lyapunov optimization framework for 5G mobile nodes with multi-homing,
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A Lyapunov Drift-Plus-Penalty Method Tailored for Reinforcement Learning with Queue Stability
A reinforcement learning reward adding squared queue lengths to the Lyapunov drift-plus-penalty objective outperforms baselines in simulation, but the derivation provided for it is mathematically invalid.