Ongoing Research
- Working on Self-Confirming Transformer (SCT), a framework for offline multi-agent reinforcement learning that allows online adaptation to previously unseen, nonstationary opponents. SCT models opponent behavior as a “belief,” conditioning its own actions on this belief through an objective inspired by the game-theoretic concept of self-confirming equilibrium.