Kevin Lu

Lu works on reinforcement learning and agent behavior at Thinking Machines Lab. His research has examined how agents reuse learned skills, explore unfamiliar environments and adapt policies across tasks, following earlier work at OpenAI, Meta FAIR and UC Berkeley with Pieter Abbeel and Igor Mordatch.