Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.

"key_insight": "When a large language model under reinforcement learning commits a wrong reasoning step early in a trajectory, standard algorithms force it to keep generating until the maximum horizon ...

Transformer-based models have revolutionized natural language processing. Models like GPT-4, BERT, and T5 dominate NLP applications in 2024, powering language translation, text summarization, and ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

The performance of the state-of-the-art Deep Reinforcement algorithms such as Proximal Policy Optimization, Twin Delayed Deep Deterministic Policy Gradient, and Soft Actor-Critic for generating a ...

Abstract: In recent years, reinforcement learning (RL) has made great achievements in artificial intelligence. Proximal policy optimization (PPO) is a representative RL algorithm, which limits the ...

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