Deep reinforcement learning (DRL) algorithms have been widely applied in user cold-start recommender systems because they can gradually capture users’ dynamic interest preferences. Deep Q-Networks ...
Aerospace and Mechanical Insider on MSN
Hierarchical reinforcement learning boosts air defense efficiency
Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.
Reinforcement-based adaptive decision-making is believed to recruit fronto-striatal circuits. A critical node of the fronto-striatal circuit is the thalamus. However, direct evidence of its ...
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