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Abstract: To address the curse of dimensionality inherent in applying dynamic programming to air combat maneuver decision-making tasks, this paper proposes an unmanned combat aerial vehicle (UCAV) ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

Train Seq-MADAC with MOEA/D in different tasks. # Train python algos/madac/main.py --config=sadn_ns --env-config=moea with env_args.key=M_2_46_3 Train Seq-MADAC with 10 D Seq-Sigmoid-Mask. python ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

Abstract: In this paper, we propose a dynamic event-triggered control (DETC) method that uses the adaptive dynamic programming (ADP) algorithm to address mixed zero-sum games (MZSGs). The designed ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack ...