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One of the key challenges of deep reinforcement learning models—the kind of AI systems that have mastered Go, StarCraft 2, and other games—is their inability to generalize their capabilities beyond ...

With the development of satellite networks, space-air-ground integrated networks, and the Internet of Things, the future giant constellations, high-resolution earth observation, human-crewed ...

Deep Reinforcement Learning (DRL) is a subfield of machine learning that combines neural networks with reinforcement learning techniques to make decisions in complex environments. It has been applied ...

Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset. Neural architecture search is the task of ...

Artificial intelligence (AI) researchers strive to advance machine intelligence by applying theories and concepts of human intelligence for learning, motivation, memory, reasoning, and more. There are ...