Tackling Unbounded State Spaces in Continuing Task Reinforcement Learning[arxiv]
Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna
I am a second-year Computer Science PhD candidate at the University of Wisconsin-Madison. I am broadly interested in representation learning questions in the context of reinforcement learning. In particular, I study how AI agents can learn suitable representations about the world that may be useful in continuing, long-horizon, and off-policy evaluation tasks.
Previously, I completed my BS and MS in Computer Science from the University of Texas at Austin, where I was fortunate to be advised by Peter Stone. I also worked as a software engineer at Salesforce and SAS Institute.
Feel free to shoot me an email if you want to chat!