AI Tea Talk: Multi-Agent ReinforcementLearningwithProf. Vinitsky
Join Prof. Eugene Vinitsky fromNYUforAI TeaTalksSingapore,exploringhowsingle-agentRLcanoutperformmulti-agentapproachesandbuildingrobustdecentralizedcontrolsystems.
Join us for the upcoming AI Tea Talks Singapore session featuring Prof. Eugene Vinitsky from New York University. The talk, titled A Stable Foundation for Empirically Effective Multi-Agent Reinforcement Learning, will explore how single-agent RL can outperform traditional multi-agent approaches with the right tweaks.
- Date and Time: Singapore: Thursday, Feb 27th, 10 AM; New York: Wednesday, Feb 26th, 9 PM
- Link to Participate: https://nus-sg.zoom.us/i/81461927964
- Webinar ID: 814 6192 79
Prof. Vinitsky will introduce new benchmarks and share insights on building robust decentralized control systems using models trained on trillions of samples. This session is open to everyone interested in AI.
Tags: AI Tea Talks, Multi-Agent Reinforcement Learning, Eugene Vinitsky, NYU, Decentralized Control Systems, Reinforcement Learning