A new hybrid Pareto-safe distributional reinforcement learning scheduler balances latency, energy, SLA, and load balance in ...

Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.

A new DDPG-based scheduling framework called SPARCD uses vehicle position prediction, action masking, and state filling to ...

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