Decision Making Agent

Decision-making agents are artificial intelligence systems designed to autonomously select actions to achieve specific goals. Current research emphasizes improving agent alignment with human values, often using reinforcement learning with reward functions explicitly encoding ethical frameworks or incorporating human feedback, and exploring hybrid systems that combine human expertise with machine learning capabilities. Prominent model architectures include large language models (LLMs), diffusion models, and Markov decision processes, often integrated within multi-agent frameworks for complex tasks. This field is significant for advancing AI safety and creating more efficient and effective AI systems across diverse applications, from manufacturing and healthcare to autonomous vehicles and legal proceedings.