Neural Agent

Neural agents are artificial intelligence systems designed to learn, adapt, and interact within complex environments, often with the goal of achieving specific objectives or exhibiting human-like behaviors. Current research focuses on improving their capabilities through advanced deep reinforcement learning architectures (like Dueling Q-networks), incorporating large language models for natural communication and collaboration, and developing methods for enhancing interpretability and explainability. This field is significant for advancing AI capabilities in diverse applications, from robotics and game playing to customer service and financial modeling, while also providing valuable insights into cognitive processes and the emergence of complex behaviors.