Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

Understand

AI agents have experienced a paradigm shift, from early dominance by reinforcement learning (RL) to the rise of agents powered by large language models (LLMs), and now further advancing towards a synergistic fusion of RL and LLM capabilities.

• This progression has endowed AI agents with increasingly strong abilities.
• Despite these advances, to accomplish complex real-world tasks, agents are required to plan and execute effectively, maintain reliable memory, and coordinate smoothly with other agents.
• Achieving these capabilities involves contending with ever-present intricate information, operations, and interactions.