Multi-domain operations, the U.S. Army’s future operating concept, requires autonomous agents with learning components to operate alongside the warfighter. New Army research reduces the unpredictability of current training reinforcement learning policies so that they are more practically applicable to physical systems, especially ground robots. U.S. Army DEVCOM Army Research Laboratory Public Affairs reports.
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| New U.S. Army research reduces the unpredictability of current training reinforcement learning policies so that they are more practically applicable to physical systems, especially ground robots. These learning components will permit autonomous agents to reason and adapt to changing battlefield conditions (Picture source: U.S. Army) |
