Lecture 3
The Problem of AI Agents & Multi-Agent Dynamics
Technical Foundations
We investigate agentic systems with memory, tool use, and goal-setting capabilities. Topics include reinforcement learning from AI feedback (RLAIF), planning in multi-agent environments, and challenges from open-ended exploration. We will discuss the governance implications of decentralized, interacting agents and some of the recent incidents that happened.