Core Insights - Reinforcement Learning (RL) is transitioning from a niche area to a critical component in advancing reasoning, decision-making, and complex scene interactions, especially as developments in Large Language Models (LLMs) reach a bottleneck [3] Group 1: Event Overview - An event is scheduled for October 8th at 6:30 PM in San Francisco, featuring top experts from academia, industry, and startups to discuss the future of RL [4] - The event is organized by Z Potentials in collaboration with HatTrick Capital and Future Builderz, focusing on connecting researchers, founders, and investors [8][9] Group 2: Featured Speakers - Notable speakers include Zeng Dong, an Assistant Professor at UCSB and former NVIDIA AI Researcher, who specializes in RL and intelligent decision-making [6] - Qifei Wang, Research Lead at DeepMind, is leading explorations at the intersection of RL and multimodal integration [6] - Bill Zhu, CEO of Pokee AI and former head of Applied RL at Meta, is working on large-scale RL applications in products [6] - Other speakers include Mike Cheng, Andy Lyu, Daanish Khazi, and Robi Lin, who are influential figures in the RL space and represent a blend of research and entrepreneurial efforts [7]