Towards Cooperative AI Agents with Reinforcement Learning and LLMs (Yali Du)

From collaborative industrial robots to personal AI assistants, the integration of AI into our daily lives highlights the critical need for effective and reliable coordination among agents, as well as between agents and humans. This challenge centers on creating agents that not only align with user intentions but also possess the flexibility to adapt to evolving circumstances, such as the introduction of novel agents. The pursuit of multi-agent cooperation extends beyond individual interactions to encompass broader societal considerations. In this talk, I will discuss the challenges of cooperative AI, and our contributions on multi-agent cooperation, human-ai coordination and cooperative alignments.