Published multiple papers in top-tier international conferences such as NeurIPS, ICML, ICLR, AISTATS, covering areas like language-image pretraining, interactive environments for machine learning engineering, online reinforcement learning methods, efficient online reinforcement learning for diffusion policy, preference optimization, alignment acceleration, multi-agent reinforcement learning, off-policy evaluation, etc.
Education
Ph.D., School of Computational Science & Engineering, Georgia Tech (Aug 2013 - Aug 2018)
Background
Principal research interest lies on Agent AI upon Generative Models, Representation, and Reinforcement Learning, aiming for creating agents with decision-making and planning ability through modeling the world.
Miscellany
Contact: bodai at cc.gatech.edu (for general academic work), bodai at google.com (for Google related work). Twitter: daibond_alpha. Address: CODA E1342A, 756 W Peachtree St NW, Atlanta, GA 30308.