uc@mooc

Трансляция закончилась 3 месяца назад

This Berkeley CS294-196 lecture features Noam Brown of OpenAI discussing multi-agent AI. Brown explores self-play algorithms, contrasting their success in zero-sum games like chess with challenges in non-zero-sum scenarios. The lecture delves into the complexities of imperfect information games and the role of human data in achieving cooperation.

Трансляция закончилась 2 месяца назад

This UC Berkeley course explores agentic AI, revisiting AlphaStar and examining multi-agent systems in the age of LLMs. Oriol Vinyals, VP of Research at Google DeepMind, delivers a lecture comparing past and present approaches. The lecture delves into reinforcement learning, imitation learning, and the challenges of creating robust AI agents.

Трансляция закончилась 3 месяца назад

This lecture explores AI agents accelerating scientific discovery. Professor Zou details the "Virtual Lab," a platform where AI agents collaborate on research projects, mirroring real-world labs. Examples include designing novel proteins and analyzing complex datasets, demonstrating AI's potential as a co-scientist.