RSI Research Mixer

About the Event A curated gathering for researchers, engineers, founders, and technical builders exploring recursive self-improvement and self-learning AI systems. AI agents are becoming more capable, but the harder question is how they learn from experience, retain useful knowledge, evaluate their own work, and improve safely over time. The RSI Research Mixer brings together people working across research, infrastructure, developer tools, reinforcement learning, evaluations, memory, and agentic systems for an evening of practical conversations and shared learning. This is not a pitch night. It is a research-led gathering for people actively building, experimenting, or trying to understand what self-improving AI systems could look like in real-world environments. What we’ll explore Recursive self-improvement and self-learning agents Memory, feedback loops, and continual learning RL environments and world models Evaluations, verification, and agent reliability Developer infrastructure for long-running agents Moving research ideas into practical systems Event format Spotlight Talks Short sessions from researchers and builders sharing what they are working on, what they have learned, and where they are still stuck. Research Discussion An open conversation around the technical opportunities, limitations, and safety considerations of self-improving AI systems. Open Networking Meet researchers, founders, engineers, independent builders, and people exploring the next generation of agentic systems. Who should attend? AI and ML researchers Engineers building agentic systems Founders and startup operators Developers working on AI infrastructure and tooling People exploring RL, evaluations, memory, or world models Independent builders and open-source contributors 📍 Paytm Office, Bellandur 📅 October 24, 2026 Hosted by AgentR Ecosystem Partner: Paytm AI Interested in presenting your research, sharing an experiment, or joining the discussion? Contact the host and tell us what you