Decentralized DDQN agents learn a slotted ALOHA-like access strategy that adapts to network conditions and reaches near-theoretical efficiency with fairness in simulations.
Analytical modeling of slotted aloha-based direct-to-satellite-iot sensor networks over nakagami- m fading channels.IEEE Sensors Journal, 26(2):3264 – 3277, 2026
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KISS: Keeping it Simple and Slotted when Learning to Communicate over Wireless
Decentralized DDQN agents learn a slotted ALOHA-like access strategy that adapts to network conditions and reaches near-theoretical efficiency with fairness in simulations.