I am a fourth year Ph.D. student at the University of Southern California coadvised by Erdem Bıyık (LiRA Lab) and Stephen Tu. I am interested in meta-reinforcement learning (RL) and building generalist agents capable of quickly adapting to new, unseen scenarios. I was previously a Student Researcher at Google working with Chih-wei Hsu, Yinlam Chow and Guy Tennenholtz on sequential-decision making with dynamic latent contexts. I also interned at Meta Reality Lab working on task-oriented dialogue systems using LLMs.
Prior to joining USC, I spent a summer (during the pandemic) as a visiting scholar at CMU working with Changliu Liu. I graduated from the University of Michigan with a Masters in Robotics and Bachelors in Computer Science where I worked with Wilka Carvalho and Honglak Lee. I had the pleasure to intern at Amazon, Invisible.ai, Google Ads, Luminar and Socratic.
Feel free to say hi: anthony dot liang at usc dot edu
HAND Me the Data: Fast Robot Adaptation via Hand Path Retrieval
