MEETUP · SAN FRANCISCO
Training Agents IRL
An open-source AI community event on reinforcement learning for agentic systems, hosted by GitHub and Hugging Face.
- When
- Thu, Oct 22
6:00 PM to 9:00 PM PT - Where
- South Beach, San Francisco, CA
- Host
- Open Source AI Week
- Entry
- Free to attend
About this event
An open-source AI community event on reinforcement learning for agentic systems, hosted by GitHub and Hugging Face.
Join the open-source community at GitHub in San Francisco for an evening with researchers and builders exploring how AI agents are trained and evaluated.
We will look beyond single-turn RL to multi-step, environment-driven training: reward design, rollouts, benchmarks, and the practical gap between training gains and real-world agent behavior.
What to expect Short, 10-minute talks with Q&A, followed by a closing panel on what works in RL for agents, where the bottlenecks are, and what the open-source ecosystem needs next.
Speakers: - Ben Burtenshaw (HF) - Govind Kamtamneni (Microsoft) - Victor Barres (Mercor) - Zach Wentz (Reflection) - Tao Lin (RadixArk) - Xiangyi Li (Benchflow)
Who should attend ML practitioners, agent builders, and RL researchers.
Thursday, October 22, 2026 · 6–9pm Pacific GitHub, San Francisco
This is part of Open Source AI Week.
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