Adaptive Agent

Adaptive agents are artificial intelligence systems designed to learn and adjust their behavior in response to dynamic environments and changing objectives. Current research focuses on developing agents capable of efficient learning from limited data, leveraging techniques like reinforcement learning, imitation learning, and neuroevolution, often implemented using deep neural networks, transformers, and spiking neural networks. This field is crucial for advancing robotics, personalized recommendations, and policy design, as adaptive agents offer the potential for more robust and effective solutions in complex, real-world scenarios.